diff --git a/README.md b/README.md
index 0fb8d7c5b287b6b6093cafd8dd9b8762fb053d56..d453440e210eab928e4d9092a64c1045d28f45c1 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
Interactive jupyter notebook widget to calculate transmission zone plate grating (TZPG, also known as beam splitting off-axis zone plate) beam sizes and position at the sample and detector planes for the SCS instrument.
-
+
The so far implemented features are:
* calculates geometric beam propagation for diffracted beams by the grating (1st, -1st and 0th order)
diff --git a/TZPGcalc.py b/TZPGcalc.py
deleted file mode 100644
index 567d5914bb7934571f05b8a397f7000d695bdba0..0000000000000000000000000000000000000000
--- a/TZPGcalc.py
+++ /dev/null
@@ -1,606 +0,0 @@
-# -*- coding: utf-8 -*-
-""" TZPG simple calculator for SCS.
-
- Interactive widget to calculate beam sizes and position at the sample and
- detector planes for the SCS instrument.
-
- Copyright (2019) SCS Team.
-"""
-
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.patches import Rectangle, Polygon
-from matplotlib.colors import hsv_to_rgb
-
-import ipywidgets as widgets
-from ipywidgets import HBox, VBox, Layout
-from IPython.display import display
-
-# zone plate focal length
-F0 = 250*1e-3 # [m]
-
-# Z position of the zone plate optic from the first interaction point (sample Z stage at 0 mm)
-Z0 = 230*1e-3 # [m]
-
-# zone plate nominal focal sorthened by the KBS focusing
-d = 3.3 - Z0 # distance between HFM and TZPG
-f1 = 7.3 # HFM focus 2 m behind second interaction point
-F = F0*(d-f1)/(d-f1-F0)
-KBS_F = f1 - d # KBS focus distance from TZPG
-
-# number of membrane to show
-SampleN = 7
-
-TZPG_db = {
- 'Custom': {
- 'design_nrj': 860,
- 'TZPGwH': 1,
- 'TZPGwV': 1,
- 'TZPGoffaxis': 0.75,
- 'grating': 3.8},
- 'O': {
- 'design_nrj': 530,
- 'TZPGwH': 0.8,
- 'TZPGwV': 0.8,
- 'TZPGoffaxis': 0.55,
- 'grating': 3.1},
- 'Fe': {
- 'design_nrj': 715,
- 'TZPGwH': 0.8,
- 'TZPGwV': 0.8,
- 'TZPGoffaxis': 0.55,
- 'grating': 3.1},
- 'Co': {
- 'design_nrj': 785,
- 'TZPGwH': 0.8,
- 'TZPGwV': 0.8,
- 'TZPGoffaxis': 0.55,
- 'grating': 3.1},
- 'Ni': {
- 'design_nrj': 860,
- 'TZPGwH': 0.8,
- 'TZPGwV': 0.8,
- 'TZPGoffaxis': 0.55,
- 'grating': 3.1},
- 'Cu': {
- 'design_nrj': 927,
- 'TZPGwH': 0.8,
- 'TZPGwV': 0.8,
- 'TZPGoffaxis': 0.55,
- 'grating': 3.1},
- 'Gd': {
- 'design_nrj': 1210,
- 'TZPGwH': 0.8,
- 'TZPGwV': 0.8,
- 'TZPGoffaxis': 0.55,
- 'grating': 3.1},
-}
-
-class TZPGcalc():
- def __init__(self):
- self.initFig()
- self.initWidgets()
- self.UpdateFig()
- display(self.control)
-
- def initFig(self):
- """ Creates a figure for the sample plane and detector plane images with all necessary drawings.
- """
-
- plt.close('TZPGcalc')
- fig, (self.ax_sam, self.ax_det) = plt.subplots(1, 2, num='TZPGcalc', figsize=(6,3))
-
- # display scale
- self.scale = 1e3 # displayed distances in [mm]
-
- self.ax_sam.set_title('Sample plane')
- self.ax_det.set_title('Detector plane')
-
- self.ax_sam.set_aspect('equal')
- self.ax_det.set_aspect('equal')
- self.ax_sam.set_xlim([-2, 2])
- self.ax_sam.set_ylim([-2, 2])
- self.ax_det.set_xlim([-35, 35])
- self.ax_det.set_ylim([-20, 50])
-
- # red and blue shifted color of the beams
- c_rr = hsv_to_rgb([0/360, 50/100, 100/100])
- c_rb = hsv_to_rgb([40/360, 50/100, 100/100])
- c_gr = hsv_to_rgb([95/360, 60/100, 100/100])
- c_gb = hsv_to_rgb([145/360, 60/100, 100/100])
-
- self.samBeamsL = {
- 'F0G0': self.ax_sam.add_patch(
- Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
- 'F0G1': self.ax_sam.add_patch(
- Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
- 'F0G-1': self.ax_sam.add_patch(
- Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
- 'F1G0': self.ax_sam.add_patch(
- Polygon([(0, 0)], facecolor=c_rr, alpha=0.7, lw=None)),
- 'F1G1': self.ax_sam.add_patch(
- Polygon([(0, 0)], facecolor=c_gr, alpha=0.7, lw=None)),
- 'F1G-1': self.ax_sam.add_patch(
- Polygon([(0, 0)], facecolor=c_gr, alpha=0.7, lw=None))
- }
-
- self.detBeamsL = {
- 'F0G0': self.ax_det.add_patch(
- Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
- 'F0G1': self.ax_det.add_patch(
- Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
- 'F0G-1': self.ax_det.add_patch(
- Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
- 'F1G0': self.ax_det.add_patch(
- Polygon([(0, 0)], facecolor=c_rr, alpha=0.7, lw=None)),
- 'F1G1': self.ax_det.add_patch(
- Polygon([(0, 0)], facecolor=c_gr, alpha=0.7, lw=None)),
- 'F1G-1': self.ax_det.add_patch(
- Polygon([(0, 0)], facecolor=c_gr, alpha=0.7, lw=None))
- }
-
- self.samBeamsH = {
- 'F0G0': self.ax_sam.add_patch(
- Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
- 'F0G1': self.ax_sam.add_patch(
- Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
- 'F0G-1': self.ax_sam.add_patch(
- Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
- 'F1G0': self.ax_sam.add_patch(
- Polygon([(0, 0)], facecolor=c_rb, alpha=0.7, lw=None)),
- 'F1G1': self.ax_sam.add_patch(
- Polygon([(0, 0)], facecolor=c_gb, alpha=0.7, lw=None)),
- 'F1G-1': self.ax_sam.add_patch(
- Polygon([(0, 0)], facecolor=c_gb, alpha=0.7, lw=None))
- }
-
- self.detBeamsH = {
- 'F0G0': self.ax_det.add_patch(
- Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
- 'F0G1': self.ax_det.add_patch(
- Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
- 'F0G-1': self.ax_det.add_patch(
- Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
- 'F1G0': self.ax_det.add_patch(
- Polygon([(0, 0)], facecolor=c_rb, alpha=0.7, lw=None)),
- 'F1G1': self.ax_det.add_patch(
- Polygon([(0, 0)], facecolor=c_gb, alpha=0.7, lw=None)),
- 'F1G-1': self.ax_det.add_patch(
- Polygon([(0, 0)], facecolor=c_gb, alpha=0.7, lw=None))
- }
-
- self.detLines = {
- 'module': self.ax_det.add_patch(
- Rectangle((0, 0), 1, 1, fill=False, facecolor='k')),
- 'Vfilter': self.ax_det.add_patch(
- Rectangle((0, 0), 1, 1, facecolor="blue", alpha=0.4)),
- 'Hfilter': self.ax_det.add_patch(
- Rectangle((0, 0), 1, 1, facecolor="blue", alpha=0.4)),
- 'diamond': self.ax_det.add_patch(
- Rectangle((-8, -8), 16, 16, facecolor="blue", alpha=0.4, angle=45))
- }
-
- # 5x5 membranes
- self.sampleLines = {}
- self.etchLines = {}
- for k in range(SampleN*SampleN):
- self.sampleLines[k] = self.ax_sam.add_patch(
- Rectangle((0, 0), 1, 1, fill=False, facecolor='k'))
- self.etchLines[k] = self.ax_sam.add_patch(
- Rectangle((0, 0), 1, 1, fill=False, facecolor='k', alpha=0.4, ls='--'))
-
-
- def RectUpdate(self, rect, xLeft, yBottom, xRight, yTop):
- """ Updates the position and size of the given Rectangle.
-
- rect: Rectangle to update
- xLeft: x position of the left corner
- yBottom: y position of the bottom corner
- xRight: x position of the right corner
- yTop: y position of the top corner
- """
-
- xw = np.abs(xLeft - xRight)
- yw = np.abs(yTop - yBottom)
-
-
- rect.set_xy((self.scale*xLeft, self.scale*yBottom))
- rect.set_height(self.scale*yw)
- rect.set_width(self.scale*xw)
-
- def PolyUpdate(self, poly, xLeft, yBottom, xRight, yTop):
- """ Updates the corner position of a Polygon.
-
- poly: regular Polygon to update
- xLeft: x position of the left corner
- yBottom: y position of the bottom corner
- xRight: x position of the right corner
- yTop: y position of the top corner
- """
-
- xy = self.scale*np.array([
- [xLeft, yBottom],
- [xLeft, yTop],
- [xRight, yTop],
- [xRight, yBottom]])
-
- poly.set_xy(xy)
-
- def LinePlaneIntersection(self, l1, l2, p0, n):
- """ Calculate the intersection point in space between a line (beam)
- passing through 2 points l1 and l2 and a (sample) plane passing by
- p0 with normal n
-
- l1: [x,y,z] point on line
- l2: [x,y,z] point on line
- p0: [x,y,z] point on plane
- n: plane normal vector
- """
-
- # plane parametrized as (p - p0).n = 0
- # line parametrized as p = l1 + l12*d with d Real
- l12 = l2 - l1
-
- if np.dot(l12,n) == 0:
- return [0,0,0] # line is either in the plane or outside the plane
- else:
- d = np.dot((p0 - l1), n)/np.dot(l12,n)
- return l1 + l12*d
-
- def UpdateBeams(self, Beams, Z, incidence, conf):
- """ Update the position and size of the beams.
-
- Beams: dictionary of f'F{f}G{g}' Polygon for f = 0 and 1 zone
- plate order and g = +1, 0 and -1 grating order
- Z: distance Z between the zone plate and the current imaging plane
- incidence: incidence angle of the imaging plane in rad
- conf: dictionnary of distance for calculation {'F', 'TZPGwH',
- 'TZPGwV', 'TZPGo', 'theta_grating'}
- """
- F = conf['F']
- wH = conf['TZPGwH']
- wV = conf['TZPGwV']
- o = conf['TZPGo']
- offaxis = wV/2 + o
-
- # imaging plane
- n = np.array([np.sin(incidence), 0, np.cos(incidence)])
- p0 = np.array([0,0,Z])
-
- # zone plate 4 corner points
- l1_list = [
- np.array([wH/2,wV/2,0]),
- np.array([wH/2,-wV/2,0]),
- np.array([-wH/2,-wV/2,0]),
- np.array([-wH/2,wV/2,0])
- ]
-
- # 6 beam focus point
- l2_list = {
- 'F0G0': np.array([0,0,KBS_F]),
- 'F0G1': np.array([KBS_F*np.arctan(conf['theta_grating']),0,KBS_F]),
- 'F0G-1': np.array([-KBS_F*np.arctan(conf['theta_grating']),0,KBS_F]),
- 'F1G0': np.array([0,offaxis,F]),
- 'F1G1': np.array([F*np.arctan(conf['theta_grating']),offaxis,F]),
- 'F1G-1': np.array([-F*np.arctan(conf['theta_grating']),offaxis,F])
- }
-
- for beam in l2_list.keys():
- l2 = l2_list[beam]
- corners = []
- for l1 in l1_list:
- corners.append(self.LinePlaneIntersection(l1, l2, p0, n)[:2])
- Beams[beam].set_xy(self.scale*np.array(corners))
-
- def DetectorUpdate(self, Xoff, Yoff):
- """ Draw DSSC detector module with filter mask.
-
- Xoff: x offset
- Yoff: y offset
- """
- # x module axis is vertical, y module axis is horizontal
- # the module 15 is +0.91 mm vertical from the beam and 4.233 mm horizontal from the beam
- offset_h = 4.233e-3 #[m]
- offset_v = 0.91e-3 #[m]
-
- moduleHw = 256*0.236e-3 #[m]
- moduleVw = 128*0.204e-3 #[m]
-
- filterW = 7e-3 #[m]
- filterL = 160e-3 #[m]
- diamondW = 16e-3 #[m]
-
- self.RectUpdate(self.detLines['module'],
- -moduleHw - offset_h + Xoff, offset_v + Yoff, -offset_h + Xoff, moduleVw + offset_v + Yoff)
- self.RectUpdate(self.detLines['Vfilter'],
- -filterW/2 + Xoff, -filterL/2 + Yoff, filterW/2 + Xoff, filterL/2 + Yoff)
- self.RectUpdate(self.detLines['Hfilter'],
- -filterL/2 + Xoff, -filterW/2 + Yoff, filterL/2 + Xoff, filterW/2 + Yoff)
-
- # moving rotated rectangles is a pain in matplotlib
- self.detLines['diamond'].set_xy((self.scale*Xoff, self.scale*(Yoff - diamondW/2*np.sqrt(2))))
-
- def SampleUpdate(self, w, p, Xoff, Yoff, thickness=0.525,
- incidence=0, etch_angle=54.74):
- """ Draw the sample.
-
- w: membrane width
- p: membrane pitch
- Xoff: sample x offset
- Yoff: sample y offset
- thickness: sample thickness used to calculate the etched facets
- incidence: incidence angle in rad
- etch_angle: etching angle from surface in rad
- """
- # Si etching angle
- wp = w +2*thickness/np.tan(etch_angle)
-
- # incidence angle squeezes sample and etch lines
- # and induces an apparent shift off the etch lines
- ci = np.cos(incidence)
- thsi = thickness*np.sin(incidence)
-
- j = 0
- for k in range(-(SampleN-1)//2, (SampleN-1)//2+1):
- for l in range(-(SampleN-1)//2, (SampleN-1)//2+1):
- self.RectUpdate(self.sampleLines[j],
- ci*(k*p - w/2 + Xoff), l*p - w/2 - Yoff,
- ci*(k*p + w/2 + Xoff), l*p + w/2 - Yoff)
- self.RectUpdate(self.etchLines[j],
- ci*(k*p - wp/2 + Xoff)+thsi, l*p - wp/2 - Yoff,
- ci*(k*p + wp/2 + Xoff)+thsi, l*p + wp/2 - Yoff)
- j+=1
-
- def UpdateFig(self):
- """ Update the figure with the current slider values.
-
- """
-
- # we calculate the optics for the central wavelength
- nrjL, nrjH = self.nrj_slider.value # [eV]
- wlL = 1240/nrjL*1e-9
- wlH = 1240/nrjH*1e-9
- nrjD = self.design_nrj_slider.value # [eV]
- wl = 1240/nrjD*1e-9
-
- theta_grating = self.grating_slider.value*1e-3 # [rad]
- sampleZ = self.samz_slider.value*1e-3 # [m]
- samIncidence = np.deg2rad(self.samIncidence_slider.value) # [rad]
- detectorZ = self.det_slider.value*1e-3 # [m]
- TZPGwH = self.TZPGwH_slider.value*1e-3 #[m]
- TZPGwV = self.TZPGwV_slider.value*1e-3 #[m]
- TZPGo = self.TZPGoffaxis_slider.value*1e-3 - TZPGwV/2 #[m]
-
- d_nominal = wl/np.sin(theta_grating)
- self.d_label.value = f'Grating Pitch:{int(np.round(d_nominal*1e9))} nm'
-
- rn = TZPGwV + TZPGo
- dr_nominal = wl * F0 / (2*np.sqrt(rn**2 + (TZPGwV/2)**2))
- self.dr_label.value = f'Outer Zone Plate width dr:{int(np.round(dr_nominal*1e9))} nm'
-
- # configuration for the low energy and high energy photon
- F0_temp = (2*np.sqrt(rn**2 + (TZPGwV/2)**2))*dr_nominal/wlL
- F_temp = F0_temp*(d-f1)/(d-f1-F0_temp)
- confL = {'F':F_temp,
- 'theta_grating':np.arcsin(wlL/d_nominal),
- 'TZPGwH':TZPGwH, 'TZPGwV':TZPGwV, 'TZPGo':TZPGo}
- F0_temp = (2*np.sqrt(rn**2 + (TZPGwV/2)**2))*dr_nominal/wlH
- F_temp = F0_temp*(d-f1)/(d-f1-F0_temp)
- confH = {'F':F_temp,
- 'theta_grating':np.arcsin(wlH/d_nominal),
- 'TZPGwH':TZPGwH, 'TZPGwV':TZPGwV, 'TZPGo':TZPGo}
-
- # update the beams
- self.UpdateBeams(self.samBeamsL, Z0 + sampleZ, samIncidence, confL)
- self.UpdateBeams(self.detBeamsL, Z0 + detectorZ, 0, confL)
- self.UpdateBeams(self.samBeamsH, Z0 + sampleZ, samIncidence, confH)
- self.UpdateBeams(self.detBeamsH, Z0 + detectorZ, 0, confH)
-
- # update the detector
- detXoff = self.detX_slider.value*1e-3 #[m]
- detYoff = self.detY_slider.value*1e-3 #[m]
- self.DetectorUpdate(detXoff, detYoff)
-
- # update the sample
- samw = self.samw_slider.value*1e-3 #[m]
- samp = self.samp_slider.value*1e-3 #[m]
- samXoff = self.samX_slider.value*1e-3 #[m]
- samYoff = self.samY_slider.value*1e-3 #[m]
- samthickness = self.samthickness_slider.value*1e-6 #[m]
- samEtchAngle = np.deg2rad(self.samEtchAngle_slider.value) #[rad]
- self.SampleUpdate(samw, samp, samXoff, samYoff, samthickness,
- samIncidence, samEtchAngle)
-
- def initWidgets(self):
- """ Creates the necessary interactive widget controls.
- """
- self.button = widgets.Button(
- description='Update',
- )
-
- @self.button.on_click
- def plot_on_click(b):
- self.UpdateFig()
-
- # TZPG part
- self.type = widgets.Dropdown(
- options=list(TZPG_db),
- value='Custom',
- description='Type:',
- disabled=False
- )
-
- def TZPGtype(change):
- v = TZPG_db[change.new]
- self.design_nrj_slider.value = v['design_nrj']
- self.TZPGwH_slider.value = v['TZPGwH']
- self.TZPGwV_slider.value = v['TZPGwV']
- self.TZPGoffaxis_slider.value = v['TZPGoffaxis']
- self.grating_slider.value = v['grating']
- # necessary to recompute grating pitch and outer zone plate width
- self.UpdateFig()
-
- self.type.observe(TZPGtype, names='value')
-
-
- self.nrj_slider = widgets.FloatRangeSlider(
- value=[840., 880.],
- min=450.,
- max=3200.0,
- step=1,
- readout_format='.2f',
- )
- self.design_nrj_slider = widgets.FloatSlider(
- value=860.,
- min=450.,
- max=3200.0,
- step=1,
- readout_format='.2f',
- )
- self.TZPGwH_slider = widgets.FloatSlider(
- value=1.0,
- min=.1,
- max=3.0,
- step=0.05,
- readout_format='.2f',
- )
- self.TZPGwV_slider = widgets.FloatSlider(
- value=1.0,
- min=.1,
- max=3.0,
- step=0.05,
- readout_format='.2f',
- )
- self.TZPGoffaxis_slider = widgets.FloatSlider(
- value=0.75,
- min=.0,
- max=2.0,
- step=0.05,
- readout_format='.2f',
- )
- self.grating_slider = widgets.FloatSlider(
- value=3.8,
- min=1.,
- max=10.0,
- step=0.05,
- readout_format='.2f',
- )
- self.dr_label = widgets.Label(value='dr')
- self.d_label = widgets.Label(value='dr')
- TZPGTab = VBox(children=[self.type,
- HBox([widgets.Label(value='Energy (eV):'), self.nrj_slider]),
- HBox([widgets.Label(value='Design Energy (eV):'), self.design_nrj_slider]),
- HBox([widgets.Label(value=r'Grating $\theta$ (mrad):'), self.grating_slider]),
- self.d_label, self.dr_label,
- HBox([widgets.Label(value='TZPG horiz. width (mm):'), self.TZPGwH_slider]),
- HBox(children=[HBox([widgets.Label(value='TZPG vert. width (mm):'), self.TZPGwV_slider]),
- HBox([widgets.Label(value='TZPG off axis (mm):'), self.TZPGoffaxis_slider])
- ])])
-
- # sample part
- self.samz_slider = widgets.FloatSlider(
- value=30.,
- min=-10.,
- max=180.0,
- step=1,
- readout_format='.2f',
- )
- self.samw_slider = widgets.FloatSlider(
- value=.5,
- min=0.01,
- max=2.0,
- step=.01,
- readout_format='.2f',
- )
- self.samp_slider = widgets.FloatSlider(
- value=1.0,
- min=0.01,
- max=2.0,
- step=.01,
- readout_format='.2f',
- )
- self.samX_slider = widgets.FloatSlider(
- value=0.,
- min=-10,
- max=10,
- step=0.01,
- readout_format='.2f',
- )
- self.samY_slider = widgets.FloatSlider(
- value=0.,
- min=-10,
- max=10,
- step=0.01,
- readout_format='.2f',
- )
- self.samthickness_slider = widgets.FloatSlider(
- value=381,
- min=1,
- max=1000,
- step=1,
- readout_format='.0f',
- )
- self.samIncidence_slider = widgets.FloatSlider(
- value=0,
- min=0,
- max=90,
- step=1,
- readout_format='.0f',
- )
- self.samEtchAngle_slider = widgets.FloatSlider(
- value=54.74,
- min=0,
- max=90,
- step=0.01,
- readout_format='.2f',
- )
- samTab = VBox(children=[HBox([widgets.Label(value='Sample Z (mm):'), self.samz_slider]),
- HBox(children=[HBox([widgets.Label(value='Membrane width (mm):'), self.samw_slider]),
- HBox([widgets.Label(value='Membrane pitch (mm):'), self.samp_slider])]),
- HBox(children=[HBox([widgets.Label(value='Sample X-Offset (mm):'), self.samX_slider]),
- HBox([widgets.Label(value='Sample Y-Offset (mm):'), self.samY_slider])]),
- HBox([widgets.Label(value='Substrate thickness (um):'), self.samthickness_slider]),
- HBox([HBox([widgets.Label(value='Normal incidence (deg):'), self.samIncidence_slider]),
- HBox([widgets.Label(value='Etch angle from surface (deg):'), self.samEtchAngle_slider])])
- ])
-
- #detector tab
- self.det_slider = widgets.FloatSlider(
- value=2000.,
- min=1000,
- max=5800,
- step=1,
- description='',
- readout_format='.2f',
- )
- self.detX_slider = widgets.FloatSlider(
- value=20.,
- min=-50,
- max=50,
- step=0.5,
- readout_format='.2f',
- )
- self.detY_slider = widgets.FloatSlider(
- value=0.,
- min=-50,
- max=50,
- step=0.5,
- readout_format='.2f',
- )
- detTab = VBox(children=[HBox([widgets.Label(value='Detector Z (m):'), self.det_slider]),
- HBox(children=[HBox([widgets.Label(value='Detector X-Offset (mm):'), self.detX_slider]),
- HBox([widgets.Label(value='Detector Y-Offset (mm):'), self.detY_slider])])])
-
- tab1 = widgets.Accordion(children=[TZPGTab])
- tab1.set_title(0, 'TZPG')
- tab1.selected_index = 0
-
- tab2 = widgets.Accordion(children=[samTab])
- tab2.set_title(0, 'sample')
- tab2.selected_index = 0
-
- tab3 = widgets.Accordion(children=[detTab])
- tab3.set_title(0, 'detector')
- tab3.selected_index = 0
-
- self.control = VBox(children=[tab1, tab2, tab3, self.button])
diff --git a/__init__.py b/__init__.py
deleted file mode 100644
index bbe30a50412c39c30961b270a2327bd5b4ff59e2..0000000000000000000000000000000000000000
--- a/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-from .TZPGcalc import TZPGcalc
diff --git a/doc/Makefile b/doc/Makefile
new file mode 100644
index 0000000000000000000000000000000000000000..69fe55ecfa9aade66e1412aef0ee7d04a9bcde86
--- /dev/null
+++ b/doc/Makefile
@@ -0,0 +1,19 @@
+# Minimal makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line.
+SPHINXOPTS =
+SPHINXBUILD = sphinx-build
+SOURCEDIR = source
+BUILDDIR = build
+
+# Put it first so that "make" without argument is like "make help".
+help:
+ @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+.PHONY: help Makefile
+
+# Catch-all target: route all unknown targets to Sphinx using the new
+# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: Makefile
+ @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
\ No newline at end of file
diff --git a/doc/source/Interactive TZPG calculator.ipynb b/doc/source/Interactive TZPG calculator.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..e54c44b79e7cb3b2cc5175e105024423ea128364
--- /dev/null
+++ b/doc/source/Interactive TZPG calculator.ipynb
@@ -0,0 +1,16905 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "%matplotlib notebook\n",
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "import matplotlib as mpl\n",
+ "mpl.rcParams['savefig.dpi'] = 300\n",
+ "mpl.rcParams['figure.dpi'] = 150\n",
+ "mpl.rcParams['figure.constrained_layout.use'] = True"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\n",
+ "\n",
+ "mpl.get_websocket_type = function() {\n",
+ " if (typeof(WebSocket) !== 'undefined') {\n",
+ " return WebSocket;\n",
+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
+ " return MozWebSocket;\n",
+ " } else {\n",
+ " alert('Your browser does not have WebSocket support. ' +\n",
+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+ " 'Firefox 4 and 5 are also supported but you ' +\n",
+ " 'have to enable WebSockets in about:config.');\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+ " this.id = figure_id;\n",
+ "\n",
+ " this.ws = websocket;\n",
+ "\n",
+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
+ "\n",
+ " if (!this.supports_binary) {\n",
+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
+ " if (warnings) {\n",
+ " warnings.style.display = 'block';\n",
+ " warnings.textContent = (\n",
+ " \"This browser does not support binary websocket messages. \" +\n",
+ " \"Performance may be slow.\");\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " this.imageObj = new Image();\n",
+ "\n",
+ " this.context = undefined;\n",
+ " this.message = undefined;\n",
+ " this.canvas = undefined;\n",
+ " this.rubberband_canvas = undefined;\n",
+ " this.rubberband_context = undefined;\n",
+ " this.format_dropdown = undefined;\n",
+ "\n",
+ " this.image_mode = 'full';\n",
+ "\n",
+ " this.root = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(this.root);\n",
+ "\n",
+ " this._init_header(this);\n",
+ " this._init_canvas(this);\n",
+ " this._init_toolbar(this);\n",
+ "\n",
+ " var fig = this;\n",
+ "\n",
+ " this.waiting = false;\n",
+ "\n",
+ " this.ws.onopen = function () {\n",
+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+ " fig.send_message(\"send_image_mode\", {});\n",
+ " if (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+ " }\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " }\n",
+ "\n",
+ " this.imageObj.onload = function() {\n",
+ " if (fig.image_mode == 'full') {\n",
+ " // Full images could contain transparency (where diff images\n",
+ " // almost always do), so we need to clear the canvas so that\n",
+ " // there is no ghosting.\n",
+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+ " }\n",
+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
+ " };\n",
+ "\n",
+ " this.imageObj.onunload = function() {\n",
+ " fig.ws.close();\n",
+ " }\n",
+ "\n",
+ " this.ws.onmessage = this._make_on_message_function(this);\n",
+ "\n",
+ " this.ondownload = ondownload;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_header = function() {\n",
+ " var titlebar = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
+ " return false;\n",
+ " });\n",
+ "\n",
+ " function set_focus () {\n",
+ " canvas.focus();\n",
+ " canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " window.setTimeout(set_focus, 100);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) {\n",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+ " // which will in turn request a refresh of the image.\n",
+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
+ " properties['type'] = type;\n",
+ " properties['figure_id'] = this.id;\n",
+ " this.ws.send(JSON.stringify(properties));\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.send_draw_message = function() {\n",
+ " if (!this.waiting) {\n",
+ " this.waiting = true;\n",
+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " var format_dropdown = fig.format_dropdown;\n",
+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+ " fig.ondownload(fig, format);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
+ " var size = msg['size'];\n",
+ " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
+ " fig._resize_canvas(size[0], size[1]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+ " x0 = Math.floor(x0) + 0.5;\n",
+ " y0 = Math.floor(y0) + 0.5;\n",
+ " x1 = Math.floor(x1) + 0.5;\n",
+ " y1 = Math.floor(y1) + 0.5;\n",
+ " var min_x = Math.min(x0, x1);\n",
+ " var min_y = Math.min(y0, y1);\n",
+ " var width = Math.abs(x1 - x0);\n",
+ " var height = Math.abs(y1 - y0);\n",
+ "\n",
+ " fig.rubberband_context.clearRect(\n",
+ " 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
+ "\n",
+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
+ " // Updates the figure title.\n",
+ " fig.header.textContent = msg['label'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = cursor;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
+ " fig.message.textContent = msg['message'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message(\"ack\", {});\n",
+ "}\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " evt.data.type = \"image/png\";\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig[\"handle_\" + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+ "mpl.findpos = function(e) {\n",
+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+ " var targ;\n",
+ " if (!e)\n",
+ " e = window.event;\n",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\n",
+ "\n",
+ " return {\"x\": x, \"y\": y};\n",
+ "};\n",
+ "\n",
+ "/*\n",
+ " * return a copy of an object with only non-object keys\n",
+ " * we need this to avoid circular references\n",
+ " * http://stackoverflow.com/a/24161582/3208463\n",
+ " */\n",
+ "function simpleKeys (original) {\n",
+ " return Object.keys(original).reduce(function (obj, key) {\n",
+ " if (typeof original[key] !== 'object')\n",
+ " obj[key] = original[key]\n",
+ " return obj;\n",
+ " }, {});\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+ " var canvas_pos = mpl.findpos(event)\n",
+ "\n",
+ " if (name === 'button_press')\n",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ "\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We want\n",
+ " * to control all of the cursor setting manually through the\n",
+ " * 'cursor' event from matplotlib */\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function(event, name) {\n",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " guiEvent: simpleKeys(event)});\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+ " if (name == 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message(\"toolbar_button\", {name: name});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.close = function() {\n",
+ " comm.close()\n",
+ " };\n",
+ " ws.send = function(m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function(msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['data'])\n",
+ " });\n",
+ " return ws;\n",
+ "}\n",
+ "\n",
+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\n",
+ "\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable()\n",
+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+ " fig.close_ws(fig, msg);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+ " fig.send_message('closing', msg);\n",
+ " // fig.ws.close()\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var width = this.canvas.width/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message(\"ack\", {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items){\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('tabindex', 0)\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " // select the cell after this one\n",
+ " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+ " IPython.notebook.select(index + 1);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.find_output_cell = function(html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i=0; i<ncells; i++) {\n",
+ " var cell = cells[i];\n",
+ " if (cell.cell_type === 'code'){\n",
+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
+ " var data = cell.output_area.outputs[j];\n",
+ " if (data.data) {\n",
+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] == html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel != null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
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myKEofoq4PzfEMsd0khQ/k1DPboKRC+EDQ0Nahv79OmDN998M+BdUe3TOv5fRY1HCMvLy9Xlsb62Q+yDQkiSjg8++EA9KWk7pAULFkDk3CM0/l81U3j88ccdIYSJfGT0xIkT6vJQ7ybGg1mPjN5zzz0QMX6nU0H5tHmihVD5St6ll14adFtCCDGbeKad0J5TE9EXRCJEP/zhDyEiKCwsjHr/JSUlEDH/kdE5c+YErVNTU6NORxXskdFECWGiHxndsmWLmp/2cU4tf//7300Rwh07dqjLKyoqQv5dxHlQCEnS8cknn6gnpSVLlqjLlS+UTpgwIei2N9xwgyOEMNTjKMp7itF8VKZXr14QMf6qWCJQ/ibt40n+rF69GiLnPipz8uRJw+39M7nlllsgIpg9e7bhPn0+Hzp37myKEGrnvQw2zyEhhJhNrBPTZ2ZmBpxr4+0LLr/8ckNR0jJ16lSInJuiKdhcdcHQvp8W7UdlImlbJB+V0d7p+vTTT3XrEi2EIoLPP//csE51dXXUH5UpLS0Ne4f1t7/9rSlC2NDQoL52c++99wbdnjgTCiFxDV988UVEcw8qn0QWEbz//vvqcuUjIb179zb8aqT2y2J2C2FeXl7A+48A8N5776l1/F/GDiWES5cuVdf99a9/Ddo2AOp8UdGgnXZi8+bNAetramqQl5cHEf0HBPy398/kzjvvDLoNcP6rsGYIYU1NDXJzcyFybq6scPNLxZIbIYSEI1IhPHv2LCZOnGj4hIxCvH2Bcvdv8eLFQbfbsWOH+rE27RdEjaivrw+QxqFDh0Lk3LQT33//fcjto23biy++qP79mzZtCljf0NCAQYMGQST0tBOJFMJgYwqlTlpaWsDdvmD91uuvvw6Rc99HMHps8+DBg+qXQBMthMD5L8ympaWFvZDKPtNZUAiJa3jttdeQkpKCUaNGoaSkRHciqq+vx8cff4yf/exn6olqwIABukdD33nnHXXdgw8+qJ6MTp8+jWeeeQYZGRnIyclxhBBmZmbipptuwr///W8A5zqpl156ST2R9+vXL2D+nlBCWFtbq36GPC0tDY8++qg62SxwbsLZzZs34xe/+AWysrKCtj3c35SZmYk2bdrgpZdeUtv32Wef4aabblIfY/noo48izkR5p1NEsGDBAvURopMnT+L3v/89UlNT1X+zRAshcG6CX2Vg06dPH7z11lu6906/+OILPPPMM+jfv7/h3JWEEBIvoYSwsbERn376KRYtWqTeIRM5N7ed0YXPePuCwsJCiAiuu+46nDhxImibZ82apbblzjvvxI4dO9T2eL1e7Ny5EwsWLECHDh0CxGHHjh3qxPRXXHEFysvLdRPT/+Mf/8ADDzwQ8FhiJG3zn5i+tLRU3fcXX3yhzisrEnpi+kQJoTIx/YwZM9QvflZXV+P3v/+9+gE8ozlug/Vb3333nfqhtaFDh6oX0b1eL9566y106dJF7TPNEMLjx4+jS5cuEBG0aNECixYtwpEjR3TtKy8vx+TJk9GrV6/IAyOmQyEkruGtt95ST0JKSU9PR5s2bQKmjujXr1/ARK4AMGHCBF29rKws9eX7q6++GsXFxY4QwldffVX97HdmZqb6IrzIuXcHv/jii4D9hhJCADh69KgqZkpp3bo1srKydPmlpaUFbXu4v2nx4sXo0aMHRAQej0ft7JQrls8++2xUmdTX1+P666/X7SM7O1vtKG+77TbTPiqj8PzzzyMjI0OXT05Oju7fRCRwYntCCEkEWiHUfro/KytL99VskXNTLoX7gmY8fcH777+v1klNTUVubi46deoU0Gd6vV71bpFSmjVrhpycHPX9PKX8/e9/D/idTZs26fqPpk2bqlP8KMV/QvtI2/b111+jd+/eunGE9qucKSkpWLZsmWF2iRbCYcOGqV/STklJCZgiYvjw4YZPC4Xqt5QPzymlZcuWqmBfdNFF2Lhxo2lCCJwTa+VurXaspTxOqhSjie2JfVAIiavYt28fli1bhrFjx6Jnz55o1aoVUlJS0KJFC3Tr1g3jxo3DCy+8EPSjMY2NjVi6dCmuuuoqeDwetGrVCn369METTzyB2trakCdDK4UQAD766COMGTMG7dq1Q3p6Oi6//HI88sgjQa98hhNC4Nw7dxs2bMCdd96JDh06wOPxwOPx4Ac/+AFGjhyJ5cuXB30RPRTav+n777/H7Nmz0a1bNzRr1gxt2rTB7bffjm3btkWdCXDu0c358+eje/fuasc9cOBArFy5Eo2NjSE7xkQIIQAcOnQIc+bMwTXXXKNeRMjMzESfPn0wbdo0vPPOOwF3bAkhJBFohVB7caxly5Zo3749Bg4ciAcffBAvv/xywJezgxFPX/Dmm29i+PDhaNOmjU5Ijfj4449x//33q3PIpqWloW3bthg8eDB++9vfYufOnUHbeOTIETz66KPo27cvWrdujWbNmuGyyy5Dfn4+Vq1aZfg4aaRtq6mpweLFizFw4EBkZmYiPT0dHTp0wF133YUdO3YEbZMZQggAL7zwAq6//npkZWWhefPm6NOnD5YtWxbwVe1g2/vzxhtv4IYbblBlsEuXLpg+fTq++eabkEKXCCEEzj3V9N///d/40Y9+hNzcXDRt2hTNmjXD5ZdfjoKCAqxduzZgDkRiLxRCQhxCJELnVBLVSRJCCCHJTiQXIgmxEveNPAlJUiiEhBBCSPJDISROw30jT0KSFAohIYQQkvxQCInTcN/Ik5AkhUJICCGEJD8UQuI03DfyJCRJoRASQgghyQ+FkDgNS0aeZ86cwSuvvIJ77rkHV155JVq1aoWMjAxcddVVeOyxxwImJY2EkydPYubMmejYsSPS09PRsWNHzJgxAydPnjThLyCEEEKsRflKbrBSXl5uuF1JSQn69++PFi1aIDs7GyNHjsQHH3xgcesJIYS4BUuEcPXq1WoH1rt3b4wdOxb5+flo1aoVRAR5eXmoqqqKeH/Hjh1Dt27dICLo3Lkzxo0bp84p07VrVxw7dszEv4YQQggxH0UIx4wZg6KiooDyr3/9K2AbZULw5s2bY/To0cjPz0daWhpSU1NRVlZmw19BCCHE6VgihCUlJXjwwQexd+9e3fJDhw6hb9++EBFMnDgx4v3dddddEBHccccdurm/pk+fDhHB5MmTE9Z2QgghxA4UIQw215c/7777LkQEOTk5uv5227ZtSE9PR2ZmZtB5TAkhhFy42P6y0rZt2yAi8Hg8EU2o+u233yIlJQVNmzbF4cOHdetqa2vRtm1bpKamBqwjhBBC3ES0Qjhq1CiICJYsWRKwbsaMGRARPP300wluJSGEELdjuxCeOXNGfZz00KFDYeuvXbsWIoKbb77ZcP0999zDj1sQQghxPdEIYU1NDTweD0QEBw8eDFi/ZcsWfsSCEEKIIbYL4aeffgoRQdOmTVFbWxu2/syZMyEi+NWvfmW4fvny5RARPPTQQ4luKiGEEGIZihDOmTMHDz74IH7xi19g2bJlOHDgQEDdHTt2QETQtm1bw32dPn0aIoLs7Gyzm00IIcRl2C6E9913H0QEt99+e0T1CwoKICJYtmyZ4fpXX31Vfb+QEEIIcSvBvjLatGlTLFiwQFd3w4YNEBH07ds36P6ysrIgIqiurja76YQQQlyErUL4xhtvoEmTJmjatCl27twZ0Ta33HILRASrV682XF9RUQERwYgRIyLaX69evQxLamoqWrZsGXQ9CwsLC4szS8uWLdGuXbuI+yKnMnfuXPzlL3/B/v37cfbsWezZswe///3v0bx5c4gIli5dqtYtLS2FiGDw4MFB93fppZdG/HpGsGzZN7KwsLC4s4TqG20Twt27dyM7OzugUwvH8OHDISJ47rnnDNe//fbbCRHClJQUeDyehP9j5OXlqVd58/LyErrv3Nxc5ObmmnIQmdluMwvzZt52t9uNeZuZtRV5ezwetGzZMuJ+xW1s2rQJIoLMzEycPXsWAPD8889DRDBkyJCg27Vv3z5uITSrb2RhYUn+kpvrrGJ3HlaXUH2jLUJ48OBBdOzYESKChx9+OKptrXpkVAkv0SjvcYgITp8+nbD9NjQ0YNWqVVi1ahXq6+tx5MgRHDlyBD6fLyH7N6vdZsO8rYV5W4sZ7dZm3dDQAJ/P57q8zTp/O4lrrrkGIoL33nsPgHWPjF4I2RJCzGHVKmeVC41Q52/LhfDo0aPq1eG777476gGGVR+VcbMQ1tTU6AZ0iYADZj3M2xjmbS1WCKH/fycCCmH8TJw4ESKC0tJSAJF/VCYrKyuu370QsiWEmIPdAkghdIgQVldXq1c177jjDni93qj3Eem0E2vXro2rrRRCPRww62HexjBvazFLCNesWYM1a9ZQCB3MrbfeChHBhg0bAABnz56NaNqJoUOHxvW7F0K2hBBzsFsAKYQOEMLa2lrceOONEBHk5+dHNAm9EYcOHUJKSgrS09NRVVUV8Btt27ZFSkoKvv3227jaSyHUwwGzHuZtDPO2FivaTSF0HkeOHEGLFi0C5G/kyJEQCT0x/cKFC+P67WTPlhBiHnYLIIXQZiH0er3qu3/XX389zpw5E3ab4uJi9OjRA7Nnzw5YV1hYCBHBmDFjdAMUpcP76U9/Gneb3SiEylV9DpjPw7ythXlbC4XQmGSQlu3bt+O9994LeK3iyy+/xODBgyEi+PGPf6xbp3xlOycnB3v37lWXb9u2DR6PB61bt8bx48fjalcyZEsIsQe7BZBCaLMQLl26VO38CwoKUFRUZFiOHj2qbjN//nyICIqKigL2d/ToUXTp0gUigi5dumD8+PG44oor1P/W7idW3CaEWtw4gDML5m0tzNtamLcxySAt69atg4ggNzcXw4YNw/jx4zF48GA0a9YMIoLevXsHPCUDnH/PPiMjA6NHj8bIkSORlpaGlJQUvPzyy3G3KxmyJYTYg90CSCG0WQgVuQtXvvzyy4BtjIQQAE6cOIHp06ejQ4cOSE9PR4cOHTBt2rS4r34qUAj1cMAcHOZ9HuZtLWa02+v1ory8HOXl5fB6va7MOxmkZffu3XjwwQfRr18/tG3bFmlpacjMzMTAgQOxaNEidboJI9atW4err74aGRkZyMzMRH5+PrZu3ZqQdiVDtoQQe7BbACmEDniH0G1QCPVwwBwc5n0e5m0t/MqoMZQW82C2hJBYsVsAKYQUwqhxmxBqr+rX19ejsrISlZWVaGxsTMj+OWDWw7yNYd7WYoUQNjY2ui5vSot5MFtCSKzYLYAUQgph1LhNCM24iq+FA2Y9zNsY5m0tVgihGVAI3QuzJYTEit0CSCGkEEYNhVAPB8x6mLcxzNtaKITGUFrMg9kSQmLFbgGkEFIIo8bNQlhfX48TJ07gxIkTAZ8sjxUOmPUwb2OYt7VYIYQ+n891eVNazIPZEkJixW4BpBBSCKPGzULIedrOw7ythXlbCz8qYwylxTyYLSEkVuwWQAohhTBqKIR6OGDWw7yNYd7WQiE0htJiHsyWEBIrdgsghZBCGDUUQj0cMOth3sYwb2vhNB/GUFrMg9kSQmLFbgGkEFIIo4ZCqIcDZj3M2xjmbS0UQmMoLebBbAkhsWK3AFIIKYRR4zYh1OLGAZxZMG9rYd7WwryNobSYB7MlhMSK3QJIIaQQRg2FUA8HzMFh3udh3tZiRru9Xi8qKipQUVEBr9fryrwpLebBbAkhsWK3AFIIKYRRQyHUwwFzcJj3eZi3tfCjMsZQWsyD2RJCYsVuAaQQUgijxm1CqL2qX19fj+3bt2P79u1obGxMyP45YNbDvI1h3tZihRA2Nja6Lm9Ki3kwW0JIrNgtgBRCCmHU9OrVC3l5eTh9+nRCS1VVlekf3UjUVXwt2gFcVVVVwnMxqzBv5h0JzPs8ZmcNmJ93Xl4epcUkKISEkFixWwAphBTCqOnVq5c6YDGruHXA7NbCvJl3MJj3eawWQrMKpcUcKISEkFixWwAphBTCqHGzENbX16O6uhrV1dXw+XwJ2T8HzHqYN/N2WjFLCH0+nyvzpub8QTkAACAASURBVLSYA4WQEBIrdgsghZBCGDVmPTKqLYkaXAHmz9Pm8/lsfzyOeburMG935m3FR2XMzpuPjJoHhZAQEit2CyCFkEIYNW7r9MweMBM9zNtamLd1WCGEZuO287ebYLaEkFixWwAphBTCqHFbp8cBs7Uwb2th3taiiKDyv92Wt9vO326C2RJCYsVuAaQQUgijxm2dHgfM1sK8rYV52weFkGhhtoSQWLFbACmEFMKocWOnp1zVd+MAzo0wb2th3vbgxrzdeP52C8yWEBIrdgsghZBCGDVu7vTcOIBzM8zbWpi3uXi9XmzevBmbN2+G1+t1Zd5uPn87HWZLCIkVuwWQQkghjBo3d3puHMC5GeZtLczbXPhRGRIKZksIiRW7BZBCSCGMGrd1etqr+nV1ddi6dSu2bt0Kr9drd9OSEuZtLczbOvwF0Ov1ui5vt52/3QSzJYTEit0CSCGkEEaN2zo9N17FdzPM21qYt3UkQ9ZuO3+7CWZLCIkVuwWQQkghjBq3dXrJMIhzE8zbWpi3dSRD1m47f7sJZksIiRW7BZBCSCGMGrd1ev6DuJqaGtTU1NjdrKSFeVsL87YOIyF0W95uO3+7CWZLCIkVuwWQQkghjBq3dXqcp81amLe1MG/r4EdlSCiYLSEkVuwWQAohhTBq3NbpccBsLczbWpi3dVAISSiYLSEkVuwWQAohhTBq3NbpccBsLczbWpi3tWgfEaUQEi3MlhASK3YLIIXQAUJYWVmJJ554AgUFBWjfvj1EBB6PJ6Z9derUCSIStHz22Wdxt9dtnR4HzNbCvK2FedsHhZBoYbaEkFixWwAphA4QwtGjRweIW7xCWFRUZFgOHToUd3vd2OkpV/XdOIBzI8zbWpi3Pbgxbzeev90CsyWExIrdAkghdIAQPvnkk5g3bx5ee+01HD58OCFCaCZu7vTcOIBzM8zbWpi3ufhPRO/GvN18/nY6zJYQEit2CyCF0AFCGPDDFELTcOMAzs0wb2th3ubCj8qQUDBbQkis2C2AFEIKYdQooSkDIm3x+XxqvcbGRsM6Vtetra3F5s2bsXnzZnz//ffYtGkTNm3ahNra2oBttSh3AIIVJ9Rl3sybeVtXt66uDitWrMCKFStQU1OD2trakHk7JUctlBbzYLaEkFixWwAphEkqhAsXLsQDDzyAGTNmYNWqVThy5EjC2terVy/k5uaqV8a1pbq6Wq23fft2wzpKOXHihFq3srIyZF1t+3fu3Bmy7jfffKPW3bVrF1asWIHCwkIUFhZiypQp6v9esWKFbrs1a9bo/s7y8vKQv6OloqIiZF3toGzz5s0h62onud66dWvIusybeTNv6/LeuXNnQL5Tp041zNupmV922WWUFpOgEBJCYmWVAyRQWy40klYI/UtGRgaee+65hLSPQsgBM/Nm3hdi3pWVlRg0aBAGDRqE4uJirFpFIXQCx48fR9u2bSEi6NGjR8i6JSUl6N+/P1q0aIHs7GyMHDkSH3zwQULaQSEkhMTKKgdIoLZcaCSdEE6fPh1lZWU4cOAAzp49i127duHhhx9GamoqRASvvPJKxPtSwvEvHo8HPXv2VL9sqP3CofJ4VUNDA+rq6gLqxFvX6/VGXffUqVNYvnw5li9fjq+//hqLFi3C0qVLcerUKXU75XEvhYaGBtTW1ob8HSfUZd7Mm3lbl/f333+PCRMmYMKECThy5AiOHz8ekHewR0eD/b1W1+3Zs2fSSUtRURGaNGkSVghnzZoFEUHz5s0xevRo5OfnIy0tDampqSgrK4u7HRRCQkis2C2AFMIkE8JgrFq1CiKC7t27R7xNKCH0v0NYWlqq27asrCzo1eqSkhJd3Y0bNwatm4gr7MXFxepV/QkTJqCgoAAFBQX405/+pG5XXl6u23bNmjVBf2Pjxo26uiUlJUHr+g8ySktLg9Zdv369ru769euD1mXezJt5W593cXExBgwYgAEDBmDSpEmYNGlSQN5Ozzo3NzeppOWdd96BiOD+++8PKYTvvvsuRAQ5OTnYu3evunzbtm1IT09HZmam7i5zLFAICSGxssoBEqgtFxoXjBA2Njbi4osvhojgiy++iGtfRo+MOnUAt2rVKvWROmUQZ/RIndMHcW4ZMDNv5p3MeQfLWpu307NOJiE8e/Ysunbtil69emHv3r0hhXDUqFEQESxZsiRg3YwZMyAiePrpp+NqD4WQEBIrqxwggdpyoXHBCCEADBo0CCIS9/sSwb4yqiXUF+/iqRvLl/dqamqwYsUKFBcX6x6j027n9Xotab/b6jJv5p3MdaPNO1jW2rydnnUyScuvf/1rNGnSBO+//z6+/PLLoEJYU1MDj8cDEcHBgwcD1m/ZsgUigmHDhsXVnmTKlhBiLXYLIIXwAhLCvLw8iAg++eSTuPbjtk6voeH8XGF1dXXYs2cP9uzZg8bGRrublpQwb2th3tahzbqhoQGNjY2uy9tt5+9gfPLJJ0hLS8M999wDACGFcMeOHRARtG3b1nBfp0+fhoggOzs7rjYlS7aEEOuxWwAphBeIEO7atQtNmjRBRkYG6urq4tqX2zo97SCupqZGN6AjiYd5Wwvztg5/IfT/bzfgtvO3EY2NjRgwYAAuuugiHDt2DEBoIdywYQNEBH379g26z6ysLIiI7su20ZIM2RJC7MFuAaQQulAIi4uL0aNHD8yePVu3/K233kJlZWVA/U8++QQ9e/aEiGDGjBlxt89tnR4HzNbCvK2FeVtHQ0MDysrKUFZWRiG0kaVLl0JEsG7dOnVZKCEsLS2FiGDw4MFB93nppZdCRHDo0KGwvx/qg2tuz5YQYg92CyCF0AFC+Prrr+Paa69Vi4igSZMmumWvv/66Wn/+/PkQERQVFen2oyzv1KkTbrrpJowfPx4DBgxAWlqa+n7EmTNn4m6v2wYUHDBbC/O2FuZtHxRC6/nqq6/QsmXLgPf9Qgnh888/DxHBkCFDgu63ffv2FEJCiG3YLYAUQgcI4bp16wwnk9cW7ZXQYEK4bds23HPPPbjyyiuRk5ODtLQ0tGnTBjfccANWr14d8LGDWHHbgEJ7VZ8DZvNh3tbCvO2DQmg9P/rRj5Ceno7du3frlvORUUKIm7FbACmEDhBCt+HmTs+NAzg3w7ythXlbixvzdvP5Gzj3SkVWVhaGDRumK8rTNc2bN1eXnTp1CkDkH5XJysqKq21uz5YQYh92CyCFkEIYNW7u9Nw4gHMzzNtamLe5NDQ0oLS0FKWlpXyH0CbCPU2jLSdPngRwbr7CSKadGDp0aFxtc3u2hBD7sFsAKYQUwqhxc6fnxgGcm2He1sK8zYVfGXUuoR4ZBYCRI0eGnZh+4cKFcbUhWbMlhJiP3QJIIaQQRo3bOj3tVf26ujrs378f+/fvd828YW6DeVsL87YOo3kI3Za3287fkRJOCCsqKiAiyMnJwd69e9Xl27Ztg8fjQevWrXH8+PG42pCs2RJCzMduAaQQUgijxm2dnhuv4rsZ5m0tzNs6kiFrt52/IyWcEALAzJkzISLIyMjA6NGjMXLkSKSlpSElJQUvv/xy3G1I1mwJIeZjtwBSCCmEUeO2Ti8ZBnFugnlbC/O2jmTI2m3n70iJRAiBc1/1vvrqq5GRkYHMzEzk5+dj69atCWlDsmZLCDEfuwWQQkghjBq3dXraQRwfqTMf5m0tzNs6+MgoCQWzJYTEit0CSCGkEEaN2zo9TtxtLczbWpi3dfCjMiQUzJYQEit2CyCFkEIYNW7r9DhgthbmbS3M2zoaGhqwfv16rF+/nkJIAmC2hJBYsVsAKYQUwqhxW6fHAbO1MG9rYd72QSEkWpgtISRW7BZACiGFMGrc1ulpr+pzwGw+zNtamLd9UAiJFmZLCIkVuwWQQkghjBo3d3puHMC5GeZtLczbWtyYt5vP306H2RJCYsVuAaQQUgijxs2dnhsHcG6GeVsL8zYXvkNIQsFsCSGxYrcAUggphFHTq1cv5OXl4fTp06YVn89nStvNGMD5fD5Ts7CiMG/mHQzmfR4rvjJqdt55eXmUFpOgEBJCYsVuAaQQUgijplevXhARU8vp06cT1l7tVf26ujrs2bMHe/bsSdi8YadPnzY9D+Z9Huath3lbl7fRPIRuzJvSYg4UQkJIrNgtgBRCCmHUuFEIzXysiwNmPcybeTutmCWEZkAhdC8UQkJIrNgtgBRCCmHUmPXIaFVVlesHzFVVVbY/Hse8nVmYt/vztloIzcibj4yaB4WQEBIrdgsghZBCGDVmdXragZBZA+a6ujocOHAABw4cMOURr0S222yYt7Uwb2sxo91Gj4y6LW9Ki3kwW0JIrNgtgBRCCmHUuFkIzZinjQNmPczbGOZtLVYIoRl3DCmE7oXZEkJixW4BpBBSCKOGQqiHA2Y9zNsY5m0tZglhaWkpSktLKYQkAGZLCIkVuwWQQkghjBoKoR4OmPUwb2OYt7VY0W4KIdHCbAkhsWK3AFIIKYRR40YhVK7qc8B8HuZtLczbWiiExlBazIPZEkJixW4BpBBSCKPGbUKoxY0DOLNg3tbCvK2FeRtDaTEPZksIiRW7BZBCSCGMGgqhHg6Yg8O8z8O8rcWsdwjLyspQVlbGdwhJAMyWEBIrdgsghZBCGDUUQj0cMAeHeZ+HeVsLvzJqDKXFPJgtISRW7BZACiGFMGrcJoTaq/p1dXXYtWsXdu3a5Zp5w8yCeVsL87YWq+YhdFvelBbzYLaEkFixWwAphBTCqHGjECb6Kr4WDpj1MG9jmLe1WCGEZkAhdC/MlhASK3YLIIWQQhg1FEI9HDDrYd7GMG9roRAaQ2kxD2ZLCIkVuwWQQkghjBo3C2F9fT2++eYbfPPNN/D5fAnZPwfMepi3MczbWqwQQp/P57q8KS3mwWwJIbFitwBSCCmEUeNmIeQ8bedh3tbCvK2FH5UxhtJiHsyWEBIrdgsghdABQlhZWYknnngCBQUFaN++PUQEHo8n5v2dPHkSM2fORMeOHZGeno6OHTtixowZOHnyZELaSyHUwwGzHuZtDPO2FrOEsKSkBCUlJRRCEgCzJYTEit0CSCF0gBCOHj1aHQAoJVYhPHbsGLp16wYRQefOnTFu3Dj07t0bIoKuXbvi2LFjcbeXQqiHA2Y9zNsY5m0tnObDGEqLeTBbQkis2C2AFEIHCOGTTz6JefPm4bXXXsPhw4fjEsK77roLIoI77rhDN0CZPn06RASTJ0+Ou71uFELlqj4HzOdh3tbCvK2FQmgMpcU8mC0hJFbsFkAKoQOEMOCHYxTCb7/9FikpKWjatCkOHz6sW1dbW4u2bdsiNTU1YF20uE0ItbhxAGcWzNtamLe1MG9jKC3mwWwJIbFitwBSCJNICNeuXQsRwc0332y4/p577oGIYN26dXG1j0KohwPm4DDv8zBvazHrHcKNGzdi48aNfIeQBMBsCSGxYrcAUgiTSAhnzpwJEcGvfvUrw/XLly+HiOChhx6Kq30UQj0cMAeHeZ+HeVsLvzJqDKXFPJgtISRW7BZACmESCWFBQQFEBMuWLTNc/+qrr6rvF8aD24RQe1W/rq4OO3fuxM6dO9HY2JiQ/XPArId5G8O8rcUKIWxsbHRd3pQW82C2hJBYsVsAKYRJJIS33HILRASrV682XF9RUQERwYgRIyLanxKOf/F4PK4TwkRfxdfCAbMe5m0M87YWK4TQDCiE7oXZEkJixW4BpBAmkRAOHz4cIoLnnnvOcP3bb79NIeSAWYV5WwvzthYKoTGUFvNgtoSQWLFbACmESSSEfGTUGO0grr6+HkeOHMGRI0fg8/kSsn8OmPUwb2OYt7VYIYQ+n891eVNazIPZEkJixW4BpBAmkRDyozLGcOJuY5i3tTBva+FHZYyhtJgHsyWExIrdAkghTCIhjHTaibVr18bVPgqhHg6Y9TBvY5i3tZglhGvWrMGaNWsohCQAZksIiRW7BZBCmERCeOjQIaSkpCA9PR1VVVW6dcrE9CkpKfj222/jah+FUA8HzHqYtzHM21o4zYcxlBbzYLaEkFixWwAphC4UwuLiYvTo0QOzZ88OWFdYWAgRwZgxY3QDlBkzZkBE8NOf/jTu9rlRCJWr+hwwn4d5WwvzthYKoTHJIi2LFi1CQUEBunbtitatWyM9PR0dO3bE5MmTsWvXrqDblZSUoH///mjRogWys7MxcuRIfPDBBwlpU7JkSwixHrsFkELoACF8/fXXce2116pFRNCkSRPdstdff12tP3/+fIgIioqKAvZ19OhRdOnSBSKCLl26YPz48bjiiivU/z569Gjc7XWbEGpx4wDOLJi3tTBva2HexiSLtOTk5KBZs2YYMGAACgoKUFBQgO7du0NEkJ6ejjfffDNgm1mzZkFE0Lx5c4wePRr5+flIS0tDamoqysrK4m5TsmRLCLEeuwWQQugAIVy3bp06AAhW1q1bp9YPJYQAcOLECUyfPh0dOnRAeno6OnTogGnTpuH48eMJaS+FUA8HzMFh3udh3tZiRru9Xi/Ky8tRXl4Or9fryryTRVr+/ve/o6amJmD5ihUrICJo3749vF6vuvzdd9+FiCAnJwd79+5Vl2/btg3p6enIzMzEiRMn4mpTsmRLCLEeuwWQQugAIXQbFEI9iWr331AcdXFCu0Ph5LwBAP/zP9EXJ7Q7CI7PG9Yd5/zKqDEXgrR07doVIoL/+7//U5eNGjUKIoIlS5YE1FdeqXj66afj+t0LIVtCiDnYLYAUQgph1LhNCLVX9evr61FZWYnKyko0NjYmZP8UQj1uyRtAUgihq/JGcglhY2Oj4/P250KQlh49ekBEsG/fPgBATU0NPB4PRAQHDx4MqL9lyxaICIYNGxbX714I2RJCzMFuAaQQUgijxm1CaMZVfC0UQj1uyRtAUgihq/JGcgmhGVAI46OkpAQigu7du6uSvmPHDogI2rZta7iNknl2dnZcv53s2RJCzMNuAaQQUgijhkKoh0Koxy15A6AQRgCF8DwUQuexcOFCFBUV4c4770Tv3r3V9wcrKyvVOhs2bICIoG/fvkH3k5WVBRFBdXV1zG1JtmwJIdZhtwBSCCmEUeNmIayvr8eJEydw4sQJ+Hy+hOyfQqjHLXkDSDohdHzeSC4h9Pl8js/bn2STlptvvln3AbYOHTrgb3/7m65OaWkpRASDBw8Oup9LL70UIoJDhw6F/U0lQ//i8XiSKltCiHXYLYAUQgph1LhZCJ08T1syCqGT8waQdELo+LyRXELIj8o4h5MnT2LLli0YPnw4RASPP/64uu7555+HiGDIkCFBt2/fvj2FkBBiG3YLIIWQQhg1FEI9Zgvhb/HnoEWpZWe7/XFL3gDOS962P4QvFMK42q0cq6GOZwohhTBe6uvrcfXVV6NJkyb48MMPAfCRUUKI87FbACmEFMKooRDqoRDqcUveACiEEUAhDA6F0JksXLgQIoK5c+cCiPyjMllZWXH97oWQLSHEHOwWQAohhTBqKIR6KIR63JI3AAphBFAIg0MhdCZr166FiGDKlCkAgLNnz0Y07cTQoUPj+t0LIVtCiDnYLYAUQgph1LhNCLU4eQCXLEKoxcl5A0gKIdTi5LwphJFBIYyfoqIiiAj+8Ic/qMtGjhwJkdAT0y9cuDCu370QsiWEmIPdAkghpBBGDYVQD4UwOE7OGwCFMAIohOfxer2oqKhARUUFvF6vo/MORjJIy5YtW/DCCy8EZF5fX48//vGPSElJQfPmzfHVV1+p6yoqKiAiyMnJwd69e9Xl27Ztg8fjQevWrXH8+PG42pUM2RJC7MFuAaQQUgijhkKoh0IYHCfnDYBCGAEUwvPwozLOYN26dRARXHTRRcjPz8ekSZMwYsQI5ObmQkTQrFkzvPjiiwHbzZw5EyKCjIwMjB49GiNHjkRaWhpSUlLw8ssvx92uZMiWEGIPdgsghZBCGDW9evVCXl4eTp8+ndBSVVVlykBIe1W/vr4e27dvx/bt29HY2JiQ/WsHcFVVVQnP5enT5WEL846z7F4bvvD4jitvs45jK/P2F8DGxkbH5h2s5OXluV5avvjiC/zmN7/B4MGDkZubi6ZNm6JFixbo3bs3pk+fjn379gXddt26dbj66quRkZGBzMxM5OfnY+vWrQlpF4WQEBIrdgsghZBCGDW9evVSByxmlUQOmM24iq9FO4Bza2HezDsYzPs8ZmcNWJM3pcUcKISEkFixWwAphBTCqKEQ6uGAWQ/zZt5OKxRCfaG0mAOFkBASK3YLIIWQQhg1Zj0yqi0+ny9h7dUO4urr61FdXY3q6uqE/YbP5zM1CysK82bewWDe5/EXQp/P57q8k+GRUadCISSExIrdAkghpBBGjds6PbPnaSN6mLe1MG/rsOKjMmbjtvO3m2C2hJBYsVsAKYQUwqhxW6fHAbO1MG9rYd7WQSEkoWC2hJBYsVsAKYQUwqhxW6fHAbO1MG9rYd7Wooig8r/dlrfbzt9uworXKVhYWJKnaF81sFsAKYQUwqhx24CCA2ZrYd7Wwrztg0JItFjxwTUWFpbkKadPn//gmd0CSCGkEEaNGwcUylV9Nw7g3AjzthbmbQ9uzNuN52+3QCFkYWGJplAInQOFMAbcPKBw4wDOzTBva2He5uL1erF582Zs3rwZXq/XlXm7+fztdPjIKAsLS7hSVVVFIXQgFMIYcPOAwo0DODfDvK2FeZsLPypDQsFsCSHhOH36NIXQgVAIY8BtnZ72qn5dXR22bt2KrVu3wuv12t20pIR5Wwvztg5/AfR6va7L223nbzfBbAkh4aAQOhMKYQy4rdNz41V8N8O8rYV5W0cyZO2287ebYLaEkHBQCJ0JhTAG3NbpJcMgzk0wb2th3taRDFm77fztJpgtISQcFEJnQiGMAbd1ev6DuJqaGtTU1NjdrKSFeVsL87YOIyF0W95uO3+7CWZLCAkHhdCZUAhjwG2dHudpsxbmbS3M2zr4URkSCmZLCAkHhdCZUAhjwG2dHgfM1sK8rYV5WweFkISC2RJCwkEhdCaOEcKamhrMmzcP3bp1g8fjQW5uLu6++24cPHgwqv106tQp5CSYn332WdxtdVunxwGztTBva2He1qJ9RJRCSLQwW0JIOCiEzsQRQlhTU4PrrrsOIoLc3FyMGzcOAwYMgIigbdu2+PzzzyPelyKERUVFhuXQoUNxt9dtnR4HzNbCvK2FedsHhZBoYbaEkHBQCJ2JI4Rw7ty5EBEMGjQIp06dUpcvWrQIIoKhQ4dGvC9FCM3EjZ2eclXfjQM4N8K8rYV524Mb83bj+dstMFtCSDgohM7EdiGsr69HVlYWRAQff/xxwPqrrroKIoLKysqI9kchDI0bB3BuhnlbC/M2F/+J6N2Yt5vP306H2RJCwkEhdCa2C+F7770HEUGXLl0M1y9YsAAigvnz50e0PwphaNw4gHMzzNtamLe58KMyJBTMlhASDgqhM7FdCJcsWQIRwdixYw3Xv/766xAR/OQnP4lof4oQLly4EA888ABmzJiBVatW4ciRIwlrsxKaMiDSFp/Pp9ZrbGw0rGN13draWmzevBmbN2/G999/j02bNmHTpk2ora0N2FaLcgcgWHFCXebNvJm3dXXr6uqwYsUKrFixAjU1NaitrQ2Zt1Ny1EJpMQ9mSwgJB4XQmdguhLNmzYKIYNasWYbrd+7cCRFBv379ItpfsK+MZmRk4LnnnktIm3v16oXc3Fz1yri2VFdXq/W2b99uWEcpJ06cUOtWVlaGrKsV2p07d4as+80336h1d+3ahRUrVqCwsBCFhYWYMmWK+r9XrFih227NmjW6v7O8vDzk72ipqKgIWVc7KNu8eXPIutpJrrdu3RqyLvNm3szburx37twZkO/UqVMN83Zq5pdddhmlxSQohISQcFAInYntQvjzn/8cIoJHH33UcP2+ffsgIujevXtE+5s+fTrKyspw4MABnD17Frt27cLDDz+M1NRUiAheeeWViNumhONflGkx3DCACzVgnjRpkvq/CwsLMXDgQN1/33jjjRgwYEDQoq170003haw7ceJEte7w4cND1p0wYYJa95ZbbglZd9y4cWrd/Pz8kHXvvPNOte6tt94asu6YMWPUuqNGjQpZt6CgQK07f/58TJw4UV3nLyja7Zh3/HnfdtttAce3Uk85vpl3/Hkr55ZHH30UnTt3xqBBg1BcXEwhJDoohISQcFAInYntQnjfffdBRDBnzhzD9Xv37o1KCIOxatWqqPcTSgh79uypftlQ+4VD5fGqhoYG1NXVBdSJt67X64267qlTp7B8+XIsX74cX3/9NRYtWoSlS5di6dKlKC4uRnFxMZYvX64b1E6cOBHjx48PWpxSVxn0T5w4ERMmTLC97vLly7F06VJMmDABEyZM0OV96tQpR2bo5rwnTJgQcHyPGTMGY8eOVY9vp2XoxrxXrVqFlStXYvHixbjmmmswYcIEHDlyBMePH9cd38pjpMEe3aytrTU8Z1lZt2fPnpQWk6AQEkLCQSF0JrYLYaIfGQ1GY2MjLr74YogIvvjii7j2ZfTIaGlpqa5OWVlZ0KvVJSUlurobN24MWjcRV9iLi4sxaNAgDBo0CBMmTEBBQQEKCgp0dyqmT58ecLcw2B2DYcOG6eoOGjQoaN2hQ4fq6l533XVB6w4ZMkRXd8iQIUHrXnfddbq6Q4cODVp30KBBurrDhg0LWjfeu0iFhYUYP348OnfujM6dO+vy/tOf/qRud+ONNzLvBOQ9YMCAgOO7T58+6NOnj3p8M+/48161ahUeeughjB8/HpdddhkGDDh3B3bSpEm643vVqlUoLy/XnYfWrFkT9Hy1ceNGXd2SkpKgdcvKynR1S0tLg9Zdv369ru769evVdbm5uZQWk6AQEkLCQSF0JrYLYaI/KhOKQYMGQUTwwQcfxLUftwmh8kidMohTBnna/00hTJwQKo+MXnbZZbqMtY+MUlASJ4T+x7dSV/vIne+I0gAAIABJREFUKPNOjBBqH4f2f+RceWSUQnjhQiEkhISDQuhMbBfCSKedmDdvXty/lZeXBxHBJ598Etd+gn1lVEuoL97FUzeWL+/V1NRgxYoVKC4uVh/rUpYpZeXKlbrB3cSJE0MW1jWuq+Q8adIk9XFG7SNsTm+/G+v6H9/KY9DKse309ruhrvLIqHJs+59LtI9oer1eS86FsdaltJgHsyWEhINC6ExsF8K6ujpkZmaGnZj+ww8/jOt3du3ahSZNmiAjIwN1dXVx7cttnV5Dw/m5wurq6rBnzx7s2bMHK1eu1F1V1w4UWWIr2juyhYWFurwbGxttb18yFv/je8GCBViwYIF6fNvdvmQoSr7Ksa181KWxsVF3fLsBt52/3QSzJYSEg0LoTGwXQgB49NFHISK47rrrdAfHokWLICIYMmSIrn5xcTF69OiB2bNn65a/9dZbqKysDNj/J598gp49e0JEMGPGjLjb67ZOTztgrqmp0Q3uKISJHzhrhVCbd0NDg+3tS8bif3wry5Xj2+72JUMJJoTa7P3vyjkVt52/3QSzJYSEg0LoTBwhhDU1Nbj22mshIsjNzcW4cePU/87JycG+fft09efPnw8RQVFRkeHyTp064aabbsL48eMxYMAApKWlQUQwbNgwnDlzJu72uq3ToxBaO3CmEFpbKITmF+05Y8qUKSgrK6MQkgCYLSEkHBRCZ+IIIQSAs2fPYu7cuejSpQvS09PRrl07FBUV4auvvgqoG0wIt23bhnvuuQdXXnklcnJykJaWhjZt2uCGG27A6tWrA95tiRW3dXoUQmsHzhRCawuF0PwS7ONVFEKihdkSQsJBIXQmjhFCN+G2Tq+hoQFlZWUoKyujEFowcFbuokyZMoVCaEHxP76V5RTCxBUKIYkEZksICQeF0JlQCGPAzZ2edgBHITR/4Ow/YLa7fclY/I9vZTmFMHGFQkgigdkSQsJBIXQmFMIYcHOnRyG0duBMITS/+B/fynIKYeKK9pxx7733orS0lO8QkgCYLSEkHBRCZ0IhjAE3d3oUQmsGzhRC64r/8a0spxAmrvAroyQSmC0hJBwUQmdCIYwBt3V6DQ0NKC0tRWlpKerq6rB//37s37+f8xCaNHBW7qLce++9urw5D6E5xf/4fvzxx/H4449zHsIEllDzEGqPbzfgtvO3P2fOnMErr7yifkCtVatWyMjIwFVXXYXHHnsMp06dCrptSUkJ+vfvjxYtWiA7OxsjR47EBx98kLC2uT1bQoj5UAidCYUwBtzW6QW7iu9/N8vuQWcyFP+vjPrfNbG7fclY/I9vHteJL8GE0I247fztz+rVq9XBVO/evTF27Fjk5+ejVatWEBHk5eWhqqoqYLtZs2ZBRNC8eXOMHj0a+fn5SEtLQ2pqKsrKyhLSNrdnSwgxHwqhM6EQxoDbOj0KobUDZwqhtYVCaH6hEDqHkpISPPjgg9i7d69u+aFDh9C3b1+ICCZOnKhb9+6776rz+mq327ZtG9LT05GZmYkTJ07E3Ta3Z0sIMR8KoTOhEMaA2zo97SCZj4yaP3DWCiEfGTW/+B/ffGQ08YWPjLqDbdu2QUTg8XhQV1enLh81ahREBEuWLAnYZsaMGRARPP3003H/fjJnSwhJDBRCZ0IhjAG3dXqcmN7agTMnpre2cGJ68ws/KuMOzpw5ow60Dh06BACoqamBx+OBiODgwYMB22zZsgUigmHDhsX9+8mcLSEkMVAInQmFMAbc1ulRCK0dOFMIrS0UQvOL9pxx//33Y/369RRCB/Lpp59CRNC0aVPU1tYCAHbs2AERQdu2bQ23UQZn2dnZcf9+MmdLCEkMFEJnQiGMAbd1ehRCawfOFEJrC4XQ/OL/XqbRuYVCaD/33XcfRAS33367umzDhg0QEfTt2zfodllZWRARVFdXx/X7yZwtISQxUAidCYUwBtzW6TU0NGD9+vVYv349hdCCgbNyF+X++++nEFpQ/I9vZTmFMHGFQuh83njjDTRp0gRNmzbFzp071eWlpaUQEQwePDjotpdeeqnuMdNwKBn6F4/Hk5TZEkISB4XQmVAIY8DNAwpOTG/twJkT05tf/I9vZTmFMHGFQuhsdu/ejezsbIgIli5dqlv3/PPPQ0QwZMiQoNu3b9+eQkgIsQQKoTOhEMZAr169kJeXh9OnT5tWfD6fKW03QwgnTZqE8ePHu7pMmjTJlIGzGULIvPXF//hWlidKCJm3te8Q+nw+U8+teXl5SSUtBw8eRMeOHSEiePjhhwPW85FRQoiToBA6EwphDPTq1Us9mM0q2v+TJBIzhHD8+PGm52F2GT9+vGuEkHlbK4TM29qvjGoHC2aVZJGWo0ePIi8vDyKCu+++2/BCYqQflcnKyoq7PRRCQkg4KITOhEIYA24TQu07VnV1ddizZw/27NmTsHkIOWDWD5y17xBq807UPITMW1/8j+8FCxZgwYIFCZuHkHmHnodQe3wnAgphZFRXV+Oaa66BiOCOO+6A1+s1rHf27NmIpp0YOnRo3G2iEBJCwkEhdCYUwhgw65HRqqoqw/+TxEuwq/j+d7MSMWAeM2aM7Y/HRVrGjBmTcEHx/8qo/12TRAvhhZ63krHRHdlEvRvLvIMLoRloBwtVVVV8ZNSA2tpa3HjjjRAR5Ofn6yahN2LkyJEQCT0x/cKFC+NuF4WQEBIOCqEzoRDGgFmdXrD/k8SLlUKYyIG+2cWMdlsthBd63krGVgnhhZq3XUJoxqPzbpcWr9eLgoICiAiuv/56nDlzJuw2FRUVEBHk5ORg79696vJt27bB4/GgdevWOH78eNxtc3u2hBDzoRA6EwphDLhZCOvq6nDgwAEcOHDAlEdGL9QBs3bgrBVCbd5mPDJ6oeddWFgYcHw/8cQTeOKJJ0x5ZPRCzTvUI6Pa4zsRUAhDs3TpUjWfgoICFBUVGZajR4/qtps5cyZEBBkZGRg9ejRGjhyJtLQ0pKSk4OWXX05I29yeLSHEfCiEzoRCGANuFkIz5iHkgFk/cDZ7YnrmrS9mT0zPvO37qAyFMJD58+dH9J7kl19+GbDtunXrcPXVVyMjIwOZmZnIz8/H1q1bE9Y2t2dLCDEfCqEzoRDGAIWQA+ZQA2cKobXtphCa327tOePee+9FaWkphZAEwGwJIeGgEDoTCmEMUAg5YA41cKYQWttuCqH57fZ/L9Po3EIhJMyWEBIOCqEzoRDGgBuFsLS0FKWlpRRCk9utvYty7733UggtaLf/8a0spxBSCI2gtJgHsyWEhINC6EwohDHgNiHUYvbE9BfqgDnYwNnsiekv9LwLC62dmP5CzZtCSCKB2RJCwkEhdCYUwhigEHLAHOnAmUJofrv9j29lOYXQnHcIp0yZgrKyMr5DSAJgtoSQcFAInQmFMAYohBwwhxs4Uwita7f/8a0spxDyK6NGUFrMg9kSQsJBIXQmFMIYcJsQNjQ0oKysDGVlZairq8OuXbuwa9cuzkNo4juEU6ZMwZQpU3R5cx5C894h1B7f8+fPx/z58zkPoUXzEGqP70RAIXQvzJYQEg4KoTOhEMaAG4XQ6Cq+/90sJww83Tpg1g6ctV8Z9b9r4tR2uzVvJWOjO7LxHtfM+3wJJoRmQCF0L8yWEBIOCqEzoRDGAIWQA+ZQA2cKobXtphCa324KIYkEZksICQeF0JlQCGPAzUJYX1+Pb775Bt988w2eeeYZCqHJQqjN2+fzObbdbs27sLAw4Ph+6qmn8NRTT6nHt1Pb7aa8gwmhz+fTHd+JgELoXpgtISQcFEJn4hghrKmpwbx589CtWzd4PB7k5ubi7rvvxsGDB6Pe18mTJzFz5kx07NgR6enp6NixI2bMmIGTJ08mpK1uFkLOQ2huu/2FkPMQmt9uTkxvfrv5URkSCcyWEBIOCqEzcYQQ1tTU4LrrroOIIDc3F+PGjcOAAQMgImjbti0+//zziPd17NgxdOvWDSKCzp07Y9y4cejduzdEBF27dsWxY8fibi+FkAPmUANnCqG17aYQmt9u7TnjZz/7GUpKSiiEJABmSwgJB4XQmThCCOfOnQsRwaBBg3Dq1Cl1+aJFiyAiGDp0aMT7uuuuuyAiuOOOO3QDlOnTp0NEMHny5LjbSyHkgDnUwJlCaG27KYTmt9v/vUyjcwuFkDBbQkg4KITOxHYhrK+vR1ZWFkQEH3/8ccD6q666CiKCysrKsPv69ttvkZKSgqZNm+Lw4cO6dbW1tWjbti1SU1MD1kWLG4WwpKQEJSUlFEKT2629i/Kzn/2MQmhBu/2Pb2U5hZBCaASlxTyYLSEkHBRCZ2K7EL733nsQEXTp0sVw/YIFCyAimD9/fth9rV27FiKCm2++2XD9PffcAxHBunXr4mix+4RQCyemN7fd/gNnTkxvfrv9j29lOYWQQmgEpcU8mC0hJBwUQmdiuxAuWbIEIoKxY8carn/99dchIvjJT34Sdl8zZ86EiOBXv/qV4frly5dDRPDQQw/F1WYKIQfMkQ6cKYTmt9v/+FaWUwjNeYdw6tSp2LhxI98hJAEwW0JIOCiEzsR2IZw1axZEBLNmzTJcv3PnTogI+vXrF3ZfBQUFEBEsW7bMcP2rr76qvl8YDxRCDpjDDZwphNa12//4VpZTCPmVUSMoLebBbAkh4aAQOhPbhfDnP/85RASPPvqo4fp9+/ZBRNC9e/ew+7rlllsgIli9erXh+oqKCogIRowYEVHblHD8i8fjcZUQNjQ0YOPGjdi4cSPq6uqwc+dO7Ny5EytXrqQQmvQO4dSpUzF16lRd3o2NjY5tt1vzLiwsDDi+58yZgzlz5qjHt1Pb7aa8gwlhY2Oj7vhOBBRC98JsCSHhoBA6E9uF8L777oOIYM6cOYbr9+7dG7EQDh8+HCKC5557znD922+/fcEKodFVfP+7WU4YeLp1wKwdOGu/Mup/18Sp7XZr3krGRndk4z2umff5EkwIzYBC6F6YLSEkHBRCZ2K7EPKR0fNQCN07YNYOnCmE1rabQmh+uymEJBKYLSEkHBRCZ2K7EPKjMuexQgjr6+tx5MgRHDlyBM888wyF0GQh1Obt8/kc22635l1YWBhwfD/99NN4+umn1ePbqe12U97BhNDn8+mO70RAIXQvzJYQEg4KoTOxXQgjnXZi3rx5YfcV6bQTa9eujavNbhZCzkNobrv9hZDzEJrfbk5Mb367+VEZEgnMlhASDgqhM7FdCOvq6pCZmQmR0BPTf/jhh2H3dejQIaSkpCA9PR1VVVW6dcrE9CkpKfj222/jajOFkAPmUANnCqG17aYQmt9u7Tlj8uTJWLNmDYWQBMBsCSHhoBA6E9uFEAAeffRRiAiuu+463cGxaNEiiAiGDBmiq19cXIwePXpg9uzZAfsqLCyEiGDMmDG6AcqMGTMgIvjpT38ad3sphBwwhxo4UwitbTeF0Px2+7+XaXRuoRASZksICQeF0Jk4Qghrampw7bXXQkSQm5uLcePGqf+dk5ODffv26erPnz8fIoKioqKAfR09ehRdunRRH0MdP348rrjiCvW/jx49Gnd73SiEa9aswZo1ayiEJrdbexdl8uTJFEIL2u1/fCvLKYQUQiMoLebBbAkh4aAQOhNHCCEAnD17FnPnzkWXLl2Qnp6Odu3aoaioCF999VVA3VBCCAAnTpzA9OnT0aFDB6Snp6NDhw6YNm0ajh8/npC2uk0ItXBienPb7T9w5sT05rfb//hWllMIKYRGUFrMg9kSQsJBIXQmjhFCN0Eh5IA50oEzhdD8dvsf38pyCmHihXDlypWYPn06ysvL4fV6KYREB7MlhISDQuhMKIQxQCHkgDncwJlCaF27/Y9vZTmFkF8ZNYLSYh7MlhASDgqhM6EQxoDbhNDr9aK8vBzl5eWor69HZWUlKisrsXLlSgqhCUKo3EWZPn26Lu/GxkbHttuteRcWFgYc37/5zW/wm9/8Rj2+ndpuN+UdTAgbGxt1x3cioBC6F2ZLCAkHhdCZUAhjwG1CGOwqvv/dLCcMPN06YNYOnLVfGfW/a+LUdrs1byVjozuy8R7XzPt8CSaEZkAhdC/MlhASDgqhM6EQxgCFkAPmUANnCqG17aYQmt9uCiGJBGZLCAkHhdCZUAhjwM1CWF9fjxMnTuDEiRN45plnKIQmC6E2b5/P59h2uzXvwsLCgON78eLFWLx4sXp8O7Xdbso7mBD6fD7d8Z0IKITuhdkSQsJBIXQmFMIYcLMQch5Cc9vtL4Sch9D8dnNievPbzY/KkEhgtoSQcFAInQmFMAYohBwwhxo4UwitbTeF0Px2UwhJJDBbQkg4KITOhEIYAxRCDphDDZwphNa2m0Jofrv938s0OrdQCAmzJYSEg0LoTCiEMUAh5IA51MCZQmhtuymE5rebQkgigdkSQsJBIXQmFMIYcJsQauHE9Oa223/gzInpzW+3//GtLKcQUgiNoLSYB7MlhISDQuhMKIQxQCHkgDnSgTOF0Px2+x/fynIKYeKFcOXKlXjooYdQUVEBr9dLIbSJyspKPPHEEygoKED79u0hIvB4PGG3KykpQf/+/dGiRQtkZ2dj5MiR+OCDDxLWrmTIlpznbyh2ZcH//I/ryt++/v9szy3mvKPETCFcuZJCGCsUwhigEHLAHG7gTCG0rt3+x7eynELIj8oYkQzSMnr0aDUjpYQTwlmzZkFE0Lx5c4wePRr5+flIS0tDamoqysrKEtKuZMiWnMdu0aAQuqNEi1lCuHIlMH068MgjFMJYoBDGQK9evZCXl4fTp08ntFRVVZkyEPJ6vaioqEBFRQXq6+uxfft2bN++HStXrky4EI4ZMwbjx493RRkzZowpQqjcRXnooYd0eTc2NiZ8oH+h511YWBhwfP/617/Gr3/9a/X4Zt7mCWFjY6Pu+E4E2sFCVVVVws+zeXl5rpeWJ598EvPmzcNrr72Gw4cPhxXCd999FyL/f3vnHxxVee//DxCzhCKBSREjRVp+aMhVW5tKhh+Ge52hiF/vhMAVKJk2cqlUGQuj1e8/QMBOp1pbFEqMrlwujdc4HUbjEHEoXyxpBWFwGKG9eCURxyrgAB1ogchms5t9f//o3c3u5uxm9+ye5znP2fdr5jMju+fsPnlnPc/ndXL2OYKysjJ0dXXFHj906BCKi4tRWlqKS5cu5TwuCqG3iG/6N+I3xtTWM68Bh35pTG29uB0br72kPbdMy41CGJXB+vp/VD6ksNCgENqgsrJywNnZfJdTi8rEn8VP/mtWPhpmUyufQhi/qEzyX03yLYSmVj6FMPnzna/PNfMeXAidIL5ZcKq8Ji0i6YXwvvvug4jg+eefH/Dc6tWrISL41a9+lfM4KITegkJIITRBCJNlMF9SWGhQCG1AIWTDTCF0R94UQjV5UwjdjUhqIQwEAvD5fBARnD59esDz7777LkQEc+bMyXkcFEJvQSGkELpdCFPJYD6ksNCgENrAqUtG4ysSieRtvPFNcm9vL65cuYIrV67gpZdeykvjvGzZMu2Xx+Vay5Ytc0QI4/OORCJ5eQ/mnVoIe3t7sWXLFmzZsiX2+WbeueedSggjkUjC5zsfRCIRR4+tXrhkNJl0Qnjs2DGICMaOHWv5fLQ5GzNmTM7joBB6CwohhdDNQjiYDOYqhYUGhdAGpk16Tt+HkJXYODt9H0JWYjl9H0KW2kVlnMa043cmpBPCXbt2QURw5513ptx/9OjREBFcuXIlp3F4MdtChkJIIXSrEGYqg/U5SGGhQSG0gWmTHoVQbeNMIVRbFELni0LobtIJYWtrK0QEs2bNSrn/+PHjISL44osvMnq/aIbJ5fP5PJdtIUMhpBC6UQizlcF6m1JYaFAIbWBaQ0EhVNs4UwjVFoXQ+Yo/TjQ3N8fkj0LoDtIJ4auvvgoRwezZs1PuH72XIYWQxEMhpBC6TQjtymC9DSksNCiENjCtoaAQqm2cKYRqi0LofCUv1GN1bKEQ6oOXjBInoBBSCN0khLnKYH2WUlhoUAhtYOKkF728y4kb07MGNs7Nzc2xv6RQCJ2t5M939HEKYf6KQuhu8rGozOjRo3MehxezLWQohBRCtwhhvmSwPgspLDQohDYwedKjEKptnCmEzlfy5zv6OIUwfxX9DL/44ot4/PHH0dHRgXA4TCF0CemE8Nq1axnddqKmpibncXgx20KGQkghdIMQ5lsG6zOUwkKDQmgDkyc9CqGaxplCqK6SP9/RxymE+SsuKuNu0gkhAMyfPx8i6W9M/+yzz+Y8Di9mW8hQCCmEuoXQKRmsz0AKCw0KoQ1Mm/TC4TA6OjrQ0dGBYDCIAwcO4MCBA3jxxRcphA40ztG/ojz++OMJeYfDYe3j82Ilf76ffPJJPPnkk7HPt+7xeaFSCWE4HE74fJuAacfvTBhMCPft2wcRQVlZGbq6umKPHzp0CD6fD6NGjcLFixdzHocXsy1kKIQUQp1C6LQM1g8ihYUGhdAGpk16qc7iJ/81S3fT6YVKXlQm+a8musfnxUr+fPNznf9KJYQmYtrx24rdu3ejuro6ViKCIUOGJDy2e/fuhH3WrFkDEcGIESNQW1uL+fPno6ioCEOHDsXrr7+el3F5IVvSD4WQQqhLCFXJYH0aKSw0KIQ2MG3SoxCqbZwphGqLQuh8UQjdxY4dO2INVarasWOH5X5VVVUYMWIESktLMW/ePBw4cCBv4/JCtqQfCiGFUIcQqpbB+hRSWGhQCG1g2qSX3DAHAoGE2yGwcc5v45wshNG8AQqhE5X8+W5qakJTUxM/13msdEIY//k2AdOO3ybBbL0FhZBCqFoIdclgvYUUFhoUQhuYNunxPoRqG2feh1Bt8T6EzhcXlSGZwGy9BYWQQqhSCHXLYLSiUlhoUAhtYNqkRyFU2zhTCNUWhdD5ohCSTGC23oJCSCFUJYThsDtkMFo/+Um+/29yP64Qwvfeew/z58/HmDFj8JWvfAV33XUXfvOb32T9OoN9r2LJkiV5Ga9pkx6FUG3jTCFUWxRC5yv+ONHU1BS7RJRCSOJhtt6CQkghVCGE4TCwZ49+CUyuP/7Rgf+pXIx2IWxra8OwYcMwZMgQzJkzB4sWLcLo0aMhInjssceyeq2oEH7zm99EQ0PDgGpubs7LmE2b9CiEahtnCqHaohA6X8nfN7Y6tlAICbP1FhRCCqHTQnj5cjf27PnHJZr1LpDA+PL7C0sKtQrhpUuXUFpaChHBG2+8EXv83LlzmDJlCkQE+/fvz/j1okK4YcMGB0bbj4mTXnThBxMbOBNh3mph3nowMW8Tj9+mwGy9BYWQQuisEA7Fm28GYou46BZAKyEsJCnUKoTPPvssRAS1tbUDnmtra4OI4P7778/49SiEg2NiA2cyzFstzNtZkm9Eb2LeJh+/3Q6z9RYUQgqhc0I4FCLz8Otf97heCAtFCrUKYU1NDUQE//Vf/zXguWAwiOHDh2P48OEZL2lOIRwcExs4k2HeamHezpKcr4l5m3z8djvM1ltQCCmETgjh5cvdEJkHkYeMEcJCkEKtQhj9ruCHH35o+fx3vvMdiAiOHz+e0etFhfD+++/HE088gZUrV6KxsRF/+MMf8jnsWGjRhii+IpFIbLu+vj7LbVRv29PTg46ODnR0dODy5cvYu3cv9u7di56engH7xhP9C0CqcsO2zJt5M2912waDQTQ3N6O5uRmBQAA9PT1p83ZLjvFQWpyD2XoLCiGFMN9CGA4Db74ZgMhDxgmh16VQmxBevnw57kully23WbBgAUQE7e3tGb1mulVG58yZg3PnzuVl7JWVlSgvLx+w0ILf78eVK1di2x0+fNhym2hdunQptu3Ro0fTbnvhwoXYtsePH0+77dmzZ2PbnjhxImGRk4cffjj238mLymzfvj3h59yzZ0/a94ln3759abeNb8o6OjrSbhv/F+EDBw6k3ZZ5M2/mrS7v48ePD8h31apVlnm7NfOvf/3rlBaHoBB6CwohhTCfQhhdTfTXv+4xVgj9HpZCbUJ49uzZmKwln8GNUl9fDxHBa6+9ltFr/u53v8PGjRtx7NgxXL58GefOnUN7ezsqKiogIqiqqkI4HM54jNFwksvn81EI2TAzb+ZdcHkfPXoUM2bMwIwZM7B161b4/RRC0g+F0FtQCCmE+RLCqAz6/eYLod+jUpiTEC5atAi33nprVnXkyBEAwJkzZwYVwmXLlmUlhKm4evUqbrnlFogIWltbM94vnRBOmzYttrJh/AqH0curQqEQgsHggG1y3TYcDme97dWrV9HU1ISmpiacOXMGmzZtwubNm3H16tXYftHLvaKEQiH09PSkfR83bMu8mTfzVpf35cuXsXTpUixduhQXLlzAxYsXB+Sd6tLRVD+v6m2nTZtGaXEICqG3oBBSCPMhhPEy6BUh9KIU5iSEVVVVaW8Eb1UdHR0AnLlkNB1NTU0QEfzgBz/I+bWsLhlNFs22traUZ6tbWloStm1vb0+5bT7OsG/dujV2Vn/p0qWoq6tDXV0dXnjhhdh+e/bsSdh3+/btKd8j+ffR0tKSctu2traEbVtbW1Nuu3PnzoRtd+7cmXJb5s28mbf6vLdu3Yrp06dj+vTpWLZsGZYtWzYgb7dnXV5eTmlxCAqht6AQUghzFcJkGfR7SAj9HpNCrYvKRO9BmK9FZdKxd+9eiAjmzp2b82uZJoTRS+qiTZzVJXVub+JMaZiZN/P2ct6pso7P2+1ZUwidg0LoLSiEFMJchNBKBv0eE0K/h6TQtbed6O3txfDhw+Hz+RAIZHbbiXT89re/hYigrq4u59dKtcpoPOlWvMtlWzsr7wUCATQ3N2Pr1q0Jl9HF75f83Uqnxm/atsybeXt522zzTpV1fN5uz5rS4hzM1ltQCCmEdoUwlQx6UQi9IoVahfAXv/jFoDemv++++/LyXg888ABEBD/72c9yfi3TJr1QqP9eYcFgEJ2dnejs7ERfX5/uoXkS5q0W5q2O+KxDoRD6+voU9UAbAAAgAElEQVSMy9u047dJMFtvQSGkENoRwnQy6FUh9IIUahXCixcvYtSoURARvPHGG7HHz58/jylTpkBE8M477wzYL7pAzZkzZxIe37JlC65evZrwWG9vLzZu3AgRQUlJyYB97GDapBffxAUCgYSGjuQf5q0W5q2OZCFM/rcJmHb8Nglm6y0ohBTCbIVwMBn0shCaLoVahRAAXn/9dQwdOhRDhgzBP//zP+Pf/u3fYjesX716tfXA/ncxmk8//XTA4yUlJaiqqsLChQtx33334aabboKIYPjw4QnSmQumTXpsmNXCvNXCvNURCoXQ1taGtrY2CiEZALP1FhRCCmE2QpiJDHpdCE2WQu1CCAAHDx7Evffei9GjR2PEiBGoqqrCf/7nf6bcPpUQNjY2Yu7cuZgwYQJKSkowfPhwTJkyBT/60Y9w8uTJvI3XtEmPDbNamLdamLc+KIQkHmbrLSiEFMJMhTBTGSwEITRVCl0hhKZh2qQXf1afDbPzMG+1MG99UAhJPMzWW1AIKYSZCGE2MlgoQmiiFFIIbWDypGdiA2cyzFstzFstJuZt8vHb7TBbb0EhpBAOJoS/DzdlJYOFJISmSSGF0AYmT3omNnAmw7zVwrydJRQKobW1Fa2trfwOIRkAs/UWFEIKYToh/H24Cb/YsytrSSokITRJCimENjB50jOxgTMZ5q0W5u0sXGWUpIPZegsKIYUwlRBGZfAn/v0UQo9IIYXQBqZNevFn9YPBID755BN88sknxtw3zDSYt1qYtzqs7kNoWt6mHb9Ngtl6CwohhdCq4mWQQugdKaQQ2sC0Sc/Es/gmw7zVwrzV4YWsTTt+mwSz9RYUQgphcjWGWxJkkELoHSmkENrAtEnPC02cSTBvtTBvdXgha9OO3ybBbL0FhZBCmCyD9Xv+X4IMUgi9I4UUQhuYNunFN3G8pM55mLdamLc6eMkoSUdlZSXKyysda6RYaiu+6b/f/54xtfSZI/D/373G1NLnDuL+rX/Unlu6+j8vvofpP/4Qt9efwtz6jxIqW9FasqQXIq9A5BUsWdIbe3z6dHeVk7L5k5/o//87ucrLKYRZY1pDwRt3q4V5q4V5q4OLypB0UAi9VRRCCmGyDFIIvSuFFEIbmNZQsGFWC/NWC/NWRygUws6dO7Fz504KIRkAhdBbRSGkECbLIIXQu1JIIbSBaQ0FG2a1MG+1MG99UAhJPBRC79ZSf6dR5f/5EWNq6dYj2vOyqsUvdmLOj0/jO/XnEipXCaIQulMKKYQ2MK2hiD+rz4bZeZi3Wpi3PiiEJB4KIYvljXrxReDHP3ZGgCiE7pRCCqENTG4oTGzgTIZ5q4V5q8XEvE0+frsdCiGLZX45KYMUQvdKIYXQBpWVlaioqEB3d7djFYlEHBm7Ew1cJBJxNAsVxbyZdyqYdz8qvkPodN4VFRUUQoegELJYZpfTMkghdK8UUghtUFlZCRFxtLq7ux0ZuxMNXHd3t+N5MO9+mHdqmLezeatYZVRF3hRCZ6AQsljmlgoZpBC6VwophDYwTQjjz+oHg0F0dnais7Mzb/cNY8OcCPNm3m4rp4Swr6/PyLwphM5AIWSxzCxVMkghdK8UUght4NQlo+fPn3esYXbyez7xDdz58+e1Xx7HvN1ZzNv8vFV8Z9DpvHnJqHNQCFks80qlDFII3SuFFEIbOLUoQXwjZGrDnM9xOw3zVgvzVosT41YthE7kXeiLygQCATQ2NmLq1Knw+XwoLy/H8uXLcfr06Zxfm0LIYplVqmWQQuheKaQQ2sBkIQwGg/jss8/w2WefOXKJV6E3zADzTgXzVosKIezr6zMu70IWwkAggJkzZ0JEUF5ejsWLF2P69OkQEYwdOxanTp3K6fUrKytx443T8Otf97BYLJfX5s09ePjhIJYs6VVaixZdoxC6UAophDYwWQiduE8bG+ZEmLc1zFstKoTQ6UVlKIT5Zf369RARzJgxA1evXo09vmnTJogIampqcnr9f3y/fjREHmKxWK6ulRDZjKiY6SoKoXukkEJoAwphImyYE2He1jBvtTglhK2trWhtbaUQGkZvby9Gjx4NEcEHH3ww4Pk77rgDIoKjR4/afg8KIYtlQrlDBimE7pJCCqENKISJsGFOhHlbw7zVomLcFEJz2L9/P0QEkydPtnz+pz/9KUQEGzZssP0evGSUxXJ36bpMNFXV10cohC6RQgqhDUwUwuhZfTbM/TBvtTBvtVAIrSlUIXz++echInjggQcsn9+9ezdEBAsWLLD9HlxUhpVJ1df/MaF0jyfTmj79PzB9+n9oH0c2GUf/2+/Xs4BMNqVbAE0QQielkEJoA9OEMB4TGzinYN5qYd5qYd7WFKoQPvbYYxARPPbYY5bPHz9+HCKCb3/727bfg0LIyqQohOoyjv6322WQQqhfCimENqAQJsKGOTXMux/mrRanvkPY1taGtrY2fofQMB566CGICNauXWv5/McffwwRwS233DLoa0UzTK5/3MaCQshKXxRCdRn7/cD3vvdH18sghVC/FFIIbUAhTIQNc2qYdz/MWy1cZdSaQhXCH/7whxARrFu3zvL5rq4uCiGL5cH65S+B739fv8BQCPNbDQ3A5s35+5xQCG1gmhDGn9UPBoM4ceIETpw4Ycx9w5yCeauFeatF1X0ITcu7UIWQl4yyWIVbP/+5+6VQtwCaJIQNDf8Q/Xx+RiiENjBRCPN9Fj8eNsyJMG9rmLdaVAihE1AInYGLyrBYhV1ul0LdAmiKEDohg34/hdAWFMJE2DAnwrytYd5qoRBaU6hCmOltJxobG22/B4WQxXJ3uVkKdQugCULolAz6/RRCW5gshL29vTh79izOnj2LSCSSl9dnw5wI87aGeatFhRBGIhHj8i5UIQwGgygtLYVI+hvTv//++7bfg0LIYrm/3CqFugXQ7ULopAz6/ZqFsLu7G6+88goeffRR3HXXXSguLoaI4Omnn87pdd966y3U1NRg1KhRuP7661FTU4O33norT6M2Wwh5n7Z+mLdamLdauKiMNYUqhACwdu1aiAhmzpyZkO2mTZsgIpg9e3ZOr08hZLHMKDdKoW4BdLMQOi2Dfr9mITx27Fhs4o+vXIRwy5YtEBEUFRXh3nvvRW1tLUpKSiAi2LJlS17GTSFMhA1zIszbGuatFqeEsKWlBS0tLRRCAwkEAqiuroaIoLy8HIsXL479u6ysDB9//HFOr08hZLHMKbdJoW4BdKsQqpBBv1+zEJ46dQorVqyA3+/HBx98EDt7aVcIOzs7UVRUBJ/Ph0OHDiU8XlZWhqKiInR1deU8bgphImyYE2He1jBvtfA2H9YUshACwLVr17B+/XpMnjwZxcXFGDduHBoaGvD555/n/NoUQhbLrHKTFOoWQDcKoSoZ9Ptd9h3CDRs25CSEq1atgohgzZo1A5577rnnICJ49NFHcx2mkUIYPavPhrkf5q0W5q0WCqE1hS6ETkIhZLHMK7dIoW4BdJsQqpRBv99jQnjzzTdDRHDgwIEBz50+fRoigokTJ+Y4SvOEMB4TGzinYN5qYd5qYd7WUAidg0LIYplZbpBC3QLoJiFULYN+v4eE8G9/+9ugTcRXv/pViAj+/ve/5zROCmEibJhTw7z7Yd5qceo7hO3t7Whvb+d3CMkAKIQslrmlWwp1C6BbhFCHDPr9HhLCP/3pTxARjBkzJuU23/rWtyAi+POf/5zLMCmESbBhTg3z7od5q4WrjFpDIXQOCiGLZXbplELdAugGIdQlg36/h4Twvffeg4hg/PjxKbeZNWsWRCRhwZl0RBuH5PL5fEYJYfxZ/WAwiOPHj+P48ePo6+vLy+uzYU6EeVvDvNWiQgj7+vqMy5tC6BwUQhbL/NIlhboFULcQ6pRBvz9HIVy0aBFuvfXWrOrIkSMpXy8XITx48CBEBF/72tdSbjNz5syCFcJ8n8WPhw1zIszbGuatFhVC6AQUQnOhELJY3igdUqhbAHUKoW4Z9PtzFMKqqqrYxJ1pdXR0pHw9XjLKhlklzFstzFstFEJrKITOQSFksbxTqqVQtwDqEkI3yKDf76FLRrmoTGrim7je3l5cuHABFy5cQCQSycvrs2FOhHlbw7zVokIII5GIcXlTCJ2DQshieatUSqFuAdQhhG6RQb/fQ0IIZHbbiZtvvjnXYRothLxPWz/MWy3MWy1cVMYaCqFzUAhZLO+VKinULYCqhdBNMuj3e0wIH3nkEYikvzH9qlWrch0mhTAJNsyJMG9rmLdanBLC7du3Y/v27RRCMgAKIYvlzVIhhboFUKUQuk0G/X5DhTC6QM2ZM2cSHj958iSGDRsGn8+Hw4cPxx7v6upCWVkZhg0bhpMnT+Y8TgphImyYE2He1jBvtfA2H9ZQCJ2DQshiebeclkLdAqhKCN0og36/C4RwwYIFqK6uRnV1NcaPHw8RwYQJE2KPLViwYODA/rdZ+PTTTwc8F/1LYFFREebPn4/a2lqUlJRARPDcc8/lZcwmCmH0rD4b5n6Yt1qYt1oohNZQCJ2D2RLibf7yF2DbNmeExOlLNLMtJ37GHTuA8+d1/xatSXf8ViKEEydOTLsq6cSJEwcOLI0QAkB7ezvuvvtujBw5EiNHjsTs2bOxa9euvI3ZNCGMx8QGzimYt1qYt1qYtzWUFudgtoR4H6ekULcAOi2EbpZBwAVCaCIUwkTYMKeGeffDvNXixLjD4TD27NmDPXv2IBwOG5k3pcU5mC0hhYETUqhbAJ0UQrfLIEAhtAWFMBE2zKlh3v0wb7VwlVFrKC3OwWwJKRzyLYW6BdApITRBBgEKoS1ME8L4s/q9vb04evQojh49ir6+vry8PhvmRJi3NcxbLSqEsK+vz7i8KS3OwWwJKSzyKYW6BdAJITRFBgEKoS1ME0InzuLHw4Y5EeZtDfNWiwohdAIKobkwW0IKj3xJoW4BzLcQmiSDAIXQFhTCRNgwJ8K8rWHeaqEQWkNpcQ5mS0hhkg8p1C2A+RRC02QQoBDawmQh7O3txaVLl3Dp0iVEIpG8vD4b5kSYtzXMWy0qhDASiRiXN6XFOZgtIYVLrlKoWwDzJYQmyiBAIbSFyULI+7T1w7zVwrzVwkVlrKG0OAezJaSwyUUKdQtgPoTQVBkEKIS2oBAmwoY5EeZtDfNWC4XQGkqLczBbQohdKdQtgLkKockyCFAIbUEhTIQNcyLM2xrmrRbe5sMaSotzMFtCCGBPCnULYC5CaLoMAhRCW1AIE2HDnAjztoZ5q4VCaA2lxTmYLSEkSrZSqFsA7QqhF2QQoBDawjQhjMfEBs4pmLdamLdamLc1lBbnYLaEkHiykULdAmhHCL0igwCF0BYUwkTYMKeGeffDvNXixLjD4TD27duHffv2IRwOG5k3pcU5mC0hJJlMpVC3AGYrhF6SQYBCaAsKYSJsmFPDvPth3mrhojLWUFqcg9kSQqzIRAp1C2A2Qug1GQQohLaorKxERUUFuru781rnz593pBGKP6vf29uLw4cP4/Dhw+jr68vL68c3cOfPn897Lk4V82bemcC8+0kWwL6+PuPyrqiooLQ4BIWQEJKKwaRQtwBmKoRelEGAQmiLysrKWMPiVOWzYXbiLH488Q2cqcW8mXcqmHc/TmcNqMmb0uIMFEJCSDrSSaFuAcxECL0qgwCF0BYUwkTYMCfCvJm324pCmFiUFmegEBJCBiOVFOoWwMGE0MsyCFAIbeHUJaPxFYlE8jbe+Caut7cXV65cwZUrV/L2HpFIRPvlcczbrGLeZuadLISRSMS4vHnJqHNQCAkhmWAlhboFMJ0Qel0GAQqhLUyb9Jy+TxtJhHmrhXmrQ8WiMk5j2vHbJJgtISRTkqVQtwCmEsJCkEGAQmgL0yY9NsxqYd5qYd7qoBCSdDBbQkg2xEuhbgG0EsJCkUGAQmgL0yY9NsxqYd5qYd5qiYpg9L9Ny9u047dJMFtCSLZEpVC3ACZXIckgQCG0hWmTHhtmtTBvtTBvfVAISTzMlhBih7/8Bfj+9/VLYLQaGgpLBgEKoS1MnPSiZ/VNbOBMhHmrhXnrwcS8TTx+mwKzJYTY5ec/d4cUNjQAv/yl7jTUQyG0gcmTnokNnMkwb7Uwb2cJh8Po6OhAR0cHwuGwkXmbfPx2O8yWEGIXv1+/FEZl0O/XnYZ6KIQ2MHnSM7GBMxnmrRbm7SxcVIakg9kSQuwSXdVTlxTGyyCFMBEKYQpMm/Tiz+oHg0EcOHAABw4cQDgc1j00T8K81cK81ZEsgOFw2Li8TTt+J9Pd3Y1XXnkFjz76KO666y4UFxdDRPD0008Puu/p06exfPlylJeXw+fzYerUqVi/fj0CgUBexmZ6toQQfcTf90+1FCbLIIUwEQphCkyb9Ew8i28yzFstzFsdXsjatON3MseOHYOIDKjBhPDUqVMYO3YsRAS33XYbFi9ejEmTJkFEMGPGDPT09OQ8NtOzJYToI17GVEqhlQxSCBOhEKbAtEnPC02cSTBvtTBvdXgha9OO38mcOnUKK1asgN/vxwcffIC1a9dmJIQ1NTUQEaxevTr2WCgUQl1dHUQEjY2NOY/N9GwJIfpIFjIVUphKBimEiVAIU2DapJfcxAUCgbxdIkQGwrzVwrzVYSWEpuVt2vF7MDZs2DCoEL7//vsQEdxwww0D/hJ47tw5XHfddRgzZgx6e3tzGovXsiWEqMNKypyUwnQySCFMhEKYAtMmPd6nTS3MWy3MWx1cVMZ9ZCKEjY2NEBGsWLHC8vl77rkHIoKOjo6cxuK1bAkh6kglZk5I4WAySCFMhEKYAtMmPTbMamHeamHe6qAQuo9MhLC2thYighdeeMHy+SeeeAIigs2bN+c0Fq9lSwhRRzo5y6cUZiKDFMJEHBfCXFZLs2LHjh2WX7aP1pIlS/IybtMmPTbMamHeamHeaom/RJRCqJ9MhPDOO++EiGDXrl2Wz2/evBkigscffzynsXgtW0KIOgYTtHxIYaYySCFMxHEhtLtaWiqiQvjNb34TDQ0NA6q5uTkv4zZt0mPDrBbmrRbmrQ8KoX4yEcKpU6dCRLBv3z7L57dt2wYRwcqVKzN6z2iGyeXz+TyVLSFEHZlIWi5SmI0MUggTcVwI7a6WloqoEG7YsCG/A03CxIYielbfxAbORJi3Wpi3HkzMW/fxe9GiRbj11luzqiNHjqR8vUyEcMqUKRARvPPOO5bPv/zyyxRCQohWMhU1O1KYrQxSCBNR/h3CTCa2dFAIB8fEBs5kmLdamLezJN+I3sS8dR+/q6qq0n61warSLfbCS0YJIV4gG1nLRgrtyCCFMBEKYQpMnvRMbOBMhnmrhXk7CxeVcR9cVIYQ4gWyFbZMpNCuDFIIEzFWCO+//3488cQTWLlyJRobG/GHP/whr+OMhhZtiOIrEonEtuvr67PcRvW2PT096OjoQEdHBy5fvoy9e/di79696OnpGbBvPNG/AKQqN2zLvJk381a3bTAYRHNzM5qbmxEIBNDT05M2b7fkGI/XpGVDBvNmpred2L9/f05j8Vq2hBB12JG2dFKYiwxSCBMxVgitas6cOTh37lxexllZWYny8vLYmfH4unLlSmy7w4cPW24TrUuXLsW2PXr0aNptL1y4ENv2+PHjabc9e/ZsbNsTJ06gubkZ9fX1qK+vx8MPPxz77+bm5oT9tm/fnvBz7tmzJ+37xLNv376028Y3ZR0dHWm3jb/J9YEDB9Juy7yZN/NWl/fx48cH5Ltq1SrLvN2a+de//nVPSUsm8+aRI0cGvTF9aWkpb0xPCNGG36a4+S2kMFcZTJqOCgJPCeHvfvc7bNy4EceOHcPly5dx7tw5tLe3o6KiAiKCqqoqhMPhjF8v3RfnKYRsmJk38y60vI8ePYoZM2ZgxowZ2Lp1K/x+CqFuMp03Z82aBRHBmjVrYo+FQiEsXLgQIoJ169blPBYKISHELv4c5M0fJ4X5kMGk6aggyEkIdayWZoerV6/illtugYigtbU14/3SCeG0adNiKxvGr3AYvbwqFAohGAwO2CbXbcPhcNbbXr16FU1NTWhqasKZM2ewadMmbN68GVevXo3tF73cK0ooFEJPT0/a93HDtsybeTNvdXlfvnwZS5cuxdKlS3HhwgVcvHhxQN6pLh1N9fOq3nbatGnGS8uCBQtQXV2N6upqjB8/HiKCCRMmxB5bsGDBgH26urpQVlYGEcHtt9+OJUuWYNKkSRARVFdXIxAIWLxTdlAICSF2yVXg/H7g6afzI4MUwkQGFUIdq6XZpampCSKCH/zgBzm/ltUlo8mi2dbWlvJsdUtLS8K27e3tKbfNxxn2rVu3xs7qL126FHV1dairq8MLL7wQ22/Pnj0J+27fvj3le7S3tyds29LSknLbtra2hG1bW1tTbrtz586EbXfu3JlyW+bNvJm3+ry3bt2K6dOnY/r06Vi2bBmWLVs2IG+3Z11eXm68tEycODHtPDtx4kTL/T7//HM8+OCDuPHGG1FcXIzJkydj3bp1uHbtWl7GRSEkhNjFnweJy2cVGp66ZDQde/fuhYhg7ty5Ob+WaUIYvaQu2sRZXVLn9ibOlIaZeTNvL+edKuv4vN2etReE0K1QCAkhdvG7QALjq9AoGCH87W9/CxFBXV1dzq+VapXReNKteJfLtnZW3gsEAmhubsbWrVsTLqOL3y/5u5VOjd+0bZk38/byttnmnSrr+LzdnjWlxTmYLSHELroFkEJYIEL4wAMPQETws5/9LOfXMm3SC4X67xUWDAbR2dmJzs5O9PX16R6aJ2HeamHe6ojPOhQKoa+vz7i8TTt+mwSzJYTYRbcAUggNFMLoAjVnzpxJeHzLli24evVqwmO9vb3YuHEjRAQlJSUD9rGDaZNefBMXCAQSGjqSf5i3Wpi3OpKFMPnfJmDa8dskmC0hxC66BZBCqFkI7ayWFv3i/Keffjrg8ZKSElRVVWHhwoW47777cNNNN0FEMHz4cLzxxht5GbNpkx4bZrUwb7Uwb3WEQiG0tbWhra2NQkgGwGwJIXbRLYAUQs1CaGe1tFRC2NjYiLlz52LChAkoKSnB8OHDMWXKFPzoRz/CyZMn8zZm0yY9NsxqYd5qYd76oBCSeJgtIcQuugWQQuiiS0ZNwbRJL/6sPhtm52HeamHe+qAQkniYLSHELroFkEJIIcwakyc9Exs4k2HeamHeajExb5OP326H2RJC7KJbACmEFMKsMXnSM7GBMxnmrRbm7SyhUAitra1obW3ldwjJAJgtIcQuugWQQkghzBqTJz0TGziTYd5qYd7OwlVGSTqYLSHELroFkEJIIcwa0ya9+LP6wWAQn3zyCT755BNj7htmGsxbLcxbHVb3ITQtb9OO3ybBbAkhdtEtgBRCCmHWmDbpmXgW32SYt1qYtzq8kLVpx2+TYLaEELvoFkAKIYUwa0yb9LzQxJkE81YL81aHF7I27fhtEsyWEGIX3QJIIaQQZo1pk158E8dL6pyHeauFeauDl4ySdDBbQohddAsghZBCmDWmTXq8cbdamLdamLc6uKgMSQezJYTYRbcAUggphFlj2qTHhlktzFstzFsdoVAIO3fuxM6dOymEZADMlhBiF90CSCGkEGaNaZMeG2a1MG+1MG99UAhJPMyWEGIX3QJIIaQQZo1pk178WX02zM7DvNXCvPVBISTxMFtCiF10CyCFkEKYNSZPeiY2cCbDvNXCvNViYt4mH7/dDrMlhNhFtwBSCCmEWVNZWYmKigp0d3c7VpFIxJGxO9HARSIRR7NQUcybeaeCefej4juETuddUVFBaXEICiEhxC66BZBCSCHMmsrKSoiIo9Xd3e3I2J1o4Lq7ux3Pg3n3w7xTw7ydzVvFKqMq8qa0OAOFkBBiF90CSCGkEGaNaUIYf1Y/GAyis7MTnZ2debtvGBvmRJg383ZbOSWEfX19RuZNaXEGCiEhxC66BZBCSCHMGqcuGT1//rxjDbOT3/OJb+DOnz+v/fI45u3OYt7m563iO4NO581LRp2DQkgIsYtuAaQQUgizxqlJL74RMrVhzue4nYZ5q4V5q8WJcasWQifyprQ4B7MlhNhFtwBSCCmEWWOyEAaDQXz22Wf47LPPHLnEq9AbZoB5p4J5q0WFEPb19RmXN6XFOZgtIcQuugWQQkghzBqThdCJ+7SxYU6EeVvDvNWiQgidXlSGQmgWzJYQYhfdAkghpBBmDYUwETbMiTBva5i3WpwSwtbWVrS2tlIIyQCYLSHELroFkEJIIcwaCmEibJgTYd7WMG+1qBg3hZDEw2wJIXbRLYAUQgph1pgohNGz+myY+2HeamHeaqEQWkNpcQ5mSwixi24BpBBSCLPGNCGMx8QGzimYt1qYt1qYtzWUFudgtoQQu+gWQAohhTBrKISJsGFODfPuh3mrxanvELa1taGtrY3fISQDYLaEELvoFkAKIYUwayiEibBhTg3z7od5q4WrjFpDaXEOZksIsYtuAaQQUgizxjQhjD+rHwwGceLECZw4ccKY+4Y5BfNWC/NWi6r7EJqWN6XFOZgtIcQuugWQQkghzBoThTDfZ/HjYcOcCPO2hnmrRYUQOgGF0FyYLSHELroFkEJIIcwaCmEibJgTYd7WMG+1UAitobQ4B7MlhNhFtwBSCCmEWWOyEPb29uLs2bM4e/YsIpFIXl6fDXMizNsa5q0WFUIYiUSMy5vS4hzMlhBiF90CSCHUKIQfffQRnnnmGdxzzz2YMGECiouLMW7cONTV1eHdd9+1/bpvvfUWampqMGrUKFx//fWoqanBW2+9lbdxmyyEvE9bP8xbLcxbLVxUxhrTpSWXefP06dNYvnw5ysvL4fP5MHXqVKxfvx6BQCAvYzM9W0KIPnQLIIVQoxCOHz8eIoJRo0Zh7ty5WLx4MW677TaICIYMGYLnn38+69fcsmULRARFRUW49957UVtbi5KSEogItmzZkpdxUwgTYcOcCPO2hvuowPcAAA8HSURBVHmrxSkhbGlpQUtLC4VQE3bnzVOnTmHs2LEQEdx2221YvHgxJk2aBBHBjBkz0NPTk/PYTM+WEKIP3QJIIdQohHPnzsVrr72GYDCY8PhLL70EEcGwYcPw4YcfZvx6nZ2dKCoqgs/nw6FDhxIeLysrQ1FREbq6unIeN4UwETbMiTBva5i3WnibD2tMlxa782ZNTQ1EBKtXr449FgqFUFdXBxFBY2NjzmMzPVtCiD50CyCF0KXfIfzud78LEcHGjRsz3mfVqlUQEaxZs2bAc8899xxEBI8++mjOYzNRCKNn9dkw98O81cK81UIhtMbL0pJq3nz//fchIrjhhhsG/CXw3LlzuO666zBmzBj09vbm9P5ezpYQ4iy6BZBC6FIhfPLJJyEiWLlyZcb73HzzzRARHDhwYMBzp0+fhohg4sSJOY/NNCGMx8QGzimYt1qYt1qYtzVelpZU82ZjYyNEBCtWrLDc75577oGIoKOjI6f393K2hBBn0S2AFEKXCuGiRYuyuozlb3/726BNxFe/+lWICP7+97/nNDYKYSJsmFPDvPth3mpx6juE7e3taG9v53cIXUiqebO2thYighdeeMFyvyeeeAIigs2bN+f0/l7OlhDiLLoFkELoQiE8deoUfD4fRARHjx7NaJ8//elPEBGMGTMm5Tbf+ta3ICL485//nNP4KISJsGFODfPuh3mrhauMWuNVaUk3b955550QEezatcty382bN0NE8Pjjj+c0Bq9mSwhxHt0CSCF0mRCGQiHMnj0bIoIlS5ZkvN97770HEcH48eNTbjNr1iyISMKCM+mIhpNcQ4cOhc/nS/m83aqoqIg1QhUVFXl97QkTJmDChAmYNm0aJk2ahEmTJhkxbieLeTNv3eM2Me/y8nKUl5fH/m1a3j6fDyNHjsx4bjGBwebNqVOnQkSwb98+y/23bduW1Vc0UmXr1NzIYrG8X+Xl7irdeaiudHPjoEK4aNEi3HrrrVnVkSNH0r7mww8/DBHBpEmTcPHixYwmJwA4ePAgRARf+9rXUm4zc+bMvAihiGDo0KHaf3mFUj6fj00G8/ZsMW+1NXToUAwbNizjuSXf6Jg3p0yZAhHBO++8Y7n/yy+/nBchHDZsGEaOHKn9d2xi8Tjg/uLvyP3F35H9GjlyJMaNG2d5zB9UCKuqqmJncjOtdF9af+qppyAiGDduHD7++OOMJqYoXrhklFjDvNXCvNXCvNWiO28d86aqS0aJfXR/Lsng8Hfkfvg7cgall4w2NTVBRFBaWopjx45lvb8XFpUh1jBvtTBvtTBvtXgp70znTVWLyhD7eOlz6VX4O3I//B05gzIhfPXVVzFkyBCMGDECBw8etP06mdx24uabb85lqAD4gVMN81YL81YL81aLV/LOZt7M9LYT+/fvd2KoJAO88rn0MvwduR/+jpxBiRC+/fbbKCoqQnFxMfbu3ZvTaz3yyCMQSX9j+lWrVuX0HgA/cKph3mph3mph3mrxQt7ZzptHjhyBSPob05eWluZ8Y3piHy98Lr0Of0fuh78jZ3BcCA8ePIiSkhIUFRXhzTffzHi/6Bftz5w5k/D4yZMnMWzYMPh8Phw+fDj2eFdXF8rKyjBs2DCcPHky53HzA6cW5q0W5q0W5q0W0/O2O29GV9mOP2EaCoWwcOFCiAjWrVvnxHBJhpj+uSwE+DtyP/wdOYPjQjh69GiICL7xjW+goaHBsrZt2zZwYP/7XcFPP/10wHPRvwQWFRVh/vz5qK2tRUlJCUQEzz33XF7GzQ+cWpi3Wpi3Wpi3WkzP2+68GT0xKiK4/fbbsWTJEkyaNAkigurqagQCAQ0/DYli+ueyEODvyP3wd+QMjgthJqurNTQ0pNzPSggBoL29HXfffTdGjhyJkSNHYvbs2SlXVyOEEEJMwe68CQCff/45HnzwQdx4440oLi7G5MmTsW7dOly7dk3tD0EIIcQYtNyYnhBCCCGEEEKIfiiEhBBCCCGEEFKgUAgJIYQQQgghpEChEBJCCCGEEEJIgUIhJIQQQgghhJAChUJICCGEEEIIIQUKhZAQQgghhBBCChQKYYZ89NFHeOaZZ3DPPfdgwoQJKC4uxrhx41BXV4d3331X9/A8R3d3N1555RU8+uijuOuuu1BcXAwRwdNPP617aEYTCATQ2NiIqVOnwufzoby8HMuXL8fp06d1D81zHD16FE8//TTq6upw0003QUTg8/l0D8uTfPnll3jzzTfx7//+77j99ttx/fXXY8SIEbjjjjvw1FNP4erVq7qHSAqUXHqH06dPY/ny5SgvL4fP58PUqVOxfv16BAIBRaMvHDg36iWXY3hLSwvuuusufOUrX8GYMWMwf/58vPfeewpH7w0ohBkyfvx4iAhGjRqFuXPnYvHixbjtttsgIhgyZAief/553UP0FMeOHbO8GTOF0D6BQAAzZ86EiKC8vByLFy/G9OnTISIYO3YsTp06pXuInqK2tnbA55dC6Azbtm2LZfxP//RPeOCBBzBv3jxcf/31EBFUVFTg/PnzuodJChC7vcOpU6cwduxYiAhuu+02LF68GJMmTYKIYMaMGejp6VH8k3gXzo36sXsMf+yxxyAiKCkpQW1tLebNm4eioiIMGzYMbW1tGn4Sc6EQZsjcuXPx2muvIRgMJjz+0ksvQUQwbNgwfPjhh5pG5z1OnTqFFStWwO/344MPPsDatWsphDmyfv36WDMRf7Zt06ZNEBHU1NRoHJ33eOaZZ9DY2Ii33noL586doxA6SEtLCx555BF0dXUlPP7FF1/gzjvvhIjge9/7nqbRkULGbu9QU1MDEcHq1atjj4VCIdTV1UFE0NjY6PjYCwXOjfqxcwz//e9/DxFBWVlZwn6HDh1CcXExSktLcenSJSXj9wIUwjzw3e9+FyKCjRs36h6KZ9mwYQOFMAd6e3sxevRoiAg++OCDAc/fcccdEBEcPXpUw+gKAwqhHg4dOhTLPrkpJ0QnqXqH999/HyKCG264YcBfAs+dO4frrrsOY8aMQW9vr8rhehLOje4n1TH8vvvug4hY/pV99erVEBH86le/UjlUo6EQ5oEnn3wSIoKVK1fqHopnoRDmxv79+yEimDx5suXzP/3pTyEi2LBhg9qBFRAUQj18+eWXsUuRvvjiC93DISRGqt6hsbERIoIVK1ZY7nfPPfdARNDR0aFglN6Gc6P7sTqGBwIB+Hw+iIjl9zzfffddiAjmzJmjeLTmQiHMA4sWLeIlHA5DIcyN559/HiKCBx54wPL53bt3Q0SwYMECxSMrHCiEevjv//5viAiuu+46fu+KuIpUvUP0+8cvvPCC5X5PPPEERASbN29WMUxPw7nR/Vgdw6PrTIwdO9Zyn+7ubogIxowZo3KoRkMhzJFTp07FzlLwkgLnoBDmRvSL14899pjl88ePH4eI4Nvf/rbikRUOFEI9/PCHP4SI4F//9V91D4WQGOl6h+h3pnbt2mW57+bNmyEiePzxx1UM1dNwbnQ/VsfwXbt2QURw5513ptwveinwlStXVAzTeCiEORAKhTB79myICJYsWaJ7OJ6GQpgbDz30EEQEa9eutXz+448/hojglltuUTyywoFCqJ63334bQ4YMwXXXXYfjx4/rHg4hAAbvHaZOnQoRwb59+yz3j67IyK+p5A7nRneT6hje2toKEcGsWbNS7htd4ZdfFciMghHCRYsW4dZbb82qjhw5kvY1H374YYgIJk2ahIsXLyr6Scwg33lTCHMjeoZt3bp1ls93dXVx0nMYCqFa/ud//gdjxozhpXUkJ3T0DlOmTIGI4J133rHc/+WXX6YQ5gnOje4l3TH81VdfhYhg9uzZKfeP3v+XQpgZBSOEVVVVlve1S1fpvrD91FNPQUQwbtw4fPzxx+p+EEPId94UwtzgZTH6oRCq4/Tp07j55pt5WR3JGR29Ay8ZVQfnRncy2DGcl4zmn4IRwnzS1NQEEUFpaSmOHTumezgFAYUwN/jFef1QCNXw17/+FRUVFRARLF++HJFIRPeQCAGQee/ARWXUwbnRfWRyDM90UZnRo0c7PVzPQCHMkldffRVDhgzBiBEjcPDgQd3DKRgohLmR6dLaXCnXOSiEznPlyhV85zvfgYhg4cKFCIfDuodECIDseodMbzuxf/9+J4ZaUHBudBeZHsOvXbuW0W0nampqnB6yZ6AQZsHbb7+NoqIiFBcXY+/evbqHU1BQCHMjGAyitLQUIulvvvv+++9rGF1hQCF0lp6eHvzLv/wLRATz5s3jTeiJa8i2dzhy5AhE0t+YvrS0lDemzwOcG91Dtsfw+fPnQyT9jemfffZZp4brOSiEGXLw4EGUlJSgqKgIb775pu7hFBwUwtxZu3YtRAQzZ85Ed3d37PFNmzYN+uVskjsUQucIh8Ooq6uDiODuu+/Gl19+qXtIhACw3zvMmjULIoI1a9bEHguFQli4cGHaRVBI9nBu1I+dY/i+ffsgIigrK0NXV1fs8UOHDsHn82HUqFFc8DELKIQZEv1y6je+8Q00NDRY1rZt23QP01MsWLAA1dXVqK6uji0fPGHChNhjvKY/OwKBAKqrqyEiKC8vx+LFi2P/Lisr4+JIeWb37t2xz2o05yFDhiQ8tnv3bt3D9ATRRTZEBHV1dSmP0X/96191D5UUGHZ7h66uLpSVlUFEcPvtt2PJkiWYNGkSRATV1dUIBAIafhpvwrlRP3aP4WvWrIGIYMSIEaitrcX8+fNRVFSEoUOH4vXXX9f005gJhTBDMllZrKGhQfcwPcXEiRPT5j1x4kTdQzSOa9euYf369Zg8eTKKi4sxbtw4NDQ04PPPP9c9NM+xY8eOQY8ZO3bs0D1MTxC9gmCw+vTTT3UPlRQYufQOn3/+OR588EHceOONKC4uxuTJk7Fu3Tpcu3ZN7Q9RAHBu1Esux/AdO3agqqoKI0aMQGlpKebNm4cDBw6o/yEMh0JICCGEEEIIIQUKhZAQQgghhBBCChQKISGEEEIIIYQUKBRCQgghhBBCCClQKISEEEIIIYQQUqBQCAkhhBBCCCGkQKEQEkIIIYQQQkiBQiEkhBBCCCGEkAKFQkgIIYQQQgghBQqFkBBCCCGEEEIKFAohIYQQQgghhBQoFEJCCCGEEEIIKVD+Pyl0slJk2N7zAAAAAElFTkSuQmCC\" width=\"900\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "572caa6f60c048f3a93034925847b97c",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "VBox(children=(Button(description='Update', style=ButtonStyle()), Accordion(children=(VBox(children=(BoundedIn…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "<TZPGcalc.TZPGcalc.TZPGcalc at 0x7f91780991c0>"
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from TZPGcalc.TZPGcalc import TZPGcalc\n",
+ "TZPGcalc()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ },
+ "widgets": {
+ "application/vnd.jupyter.widget-state+json": {
+ "state": {
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+ "model_module": "@jupyter-widgets/controls",
+ "model_module_version": "1.5.0",
+ "model_name": "DescriptionStyleModel",
+ "state": {
+ "description_width": "initial"
+ }
+ },
+ "008288c1f0c24d95a70be3e032f68751": {
+ "model_module": "@jupyter-widgets/base",
+ "model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
+ "state": {}
+ },
+ "0093fc9dafb24620b5ed997430716841": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_module_version": "1.5.0",
+ "model_name": "BoundedIntTextModel",
+ "state": {
+ "description": "Low:",
+ "layout": "IPY_MODEL_19bbeb6117a741ef96b77d11d155abf2",
+ "max": 3200,
+ "min": 450,
+ "style": "IPY_MODEL_0008085842a9416089aa354b9c4b7c52",
+ "value": 840
+ }
+ },
+ "0096d7599914460582582e46eef49cb5": {
+ "model_module": "@jupyter-widgets/base",
+ "model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
+ "state": {}
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+ "00b41c0291014bbb9030a0a0688483c7": {
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+ "model_module": "@jupyter-widgets/controls",
+ "model_module_version": "1.5.0",
+ "model_name": "AccordionModel",
+ "state": {
+ "_titles": {
+ "0": "Spot sizes"
+ },
+ "children": [
+ "IPY_MODEL_acdc5dfe51f34252937ce65e19f78eab"
+ ],
+ "layout": "IPY_MODEL_bec27a69d37d4576b42f9ee94f6fd363"
+ }
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+ "00d83bc536044cbaa7081f853860f10c": {
+ "model_module": "@jupyter-widgets/base",
+ "model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
+ "state": {}
+ },
+ "00f2f96fb5344bb9a5c2f3657160dfaf": {
+ "model_module": "@jupyter-widgets/controls",
+ "model_module_version": "1.5.0",
+ "model_name": "HTMLModel",
+ "state": {
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+}
diff --git a/example/TZPGcalc.png b/doc/source/TZPGcalc.png
similarity index 100%
rename from example/TZPGcalc.png
rename to doc/source/TZPGcalc.png
diff --git a/doc/source/conf.py b/doc/source/conf.py
new file mode 100644
index 0000000000000000000000000000000000000000..1c0d3879b82bde88097e2dc3164ebd215685b727
--- /dev/null
+++ b/doc/source/conf.py
@@ -0,0 +1,182 @@
+# -*- coding: utf-8 -*-
+#
+# Configuration file for the Sphinx documentation builder.
+#
+# This file does only contain a selection of the most common options. For a
+# full list see the documentation:
+# http://www.sphinx-doc.org/en/master/config
+
+# -- Path setup --------------------------------------------------------------
+
+# If extensions (or modules to document with autodoc) are in another directory,
+# add these directories to sys.path here. If the directory is relative to the
+# documentation root, use os.path.abspath to make it absolute, like shown here.
+#
+# import os
+# import sys
+# sys.path.insert(0, os.path.abspath('.'))
+
+
+# -- Project information -----------------------------------------------------
+
+project = 'TZPG calculator'
+copyright = '2021, Loïc Le Guyader'
+author = 'Loïc Le Guyader'
+
+# The short X.Y version
+version = ''
+# The full version, including alpha/beta/rc tags
+release = ''
+
+
+# -- General configuration ---------------------------------------------------
+
+# If your documentation needs a minimal Sphinx version, state it here.
+#
+# needs_sphinx = '1.0'
+
+# Add any Sphinx extension module names here, as strings. They can be
+# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
+# ones.
+extensions = [
+ 'sphinx.ext.autodoc',
+ 'sphinx.ext.mathjax',
+ 'sphinx_rtd_theme',
+ 'nbsphinx',
+ 'jupyter_sphinx.execute'
+]
+
+# Add any paths that contain templates here, relative to this directory.
+templates_path = ['_templates']
+
+# The suffix(es) of source filenames.
+# You can specify multiple suffix as a list of string:
+#
+# source_suffix = ['.rst', '.md']
+source_suffix = '.rst'
+
+# The master toctree document.
+master_doc = 'index'
+
+# The language for content autogenerated by Sphinx. Refer to documentation
+# for a list of supported languages.
+#
+# This is also used if you do content translation via gettext catalogs.
+# Usually you set "language" from the command line for these cases.
+language = None
+
+# List of patterns, relative to source directory, that match files and
+# directories to ignore when looking for source files.
+# This pattern also affects html_static_path and html_extra_path.
+exclude_patterns = []
+
+# The name of the Pygments (syntax highlighting) style to use.
+pygments_style = None
+
+
+# -- Options for HTML output -------------------------------------------------
+
+# The theme to use for HTML and HTML Help pages. See the documentation for
+# a list of builtin themes.
+#
+# html_theme = 'alabaster'
+html_theme = 'sphinx_rtd_theme'
+
+# Theme options are theme-specific and customize the look and feel of a theme
+# further. For a list of options available for each theme, see the
+# documentation.
+#
+# html_theme_options = {}
+
+# Add any paths that contain custom static files (such as style sheets) here,
+# relative to this directory. They are copied after the builtin static files,
+# so a file named "default.css" will overwrite the builtin "default.css".
+html_static_path = ['_static']
+
+# Custom sidebar templates, must be a dictionary that maps document names
+# to template names.
+#
+# The default sidebars (for documents that don't match any pattern) are
+# defined by theme itself. Builtin themes are using these templates by
+# default: ``['localtoc.html', 'relations.html', 'sourcelink.html',
+# 'searchbox.html']``.
+#
+# html_sidebars = {}
+
+
+# -- Options for HTMLHelp output ---------------------------------------------
+
+# Output file base name for HTML help builder.
+htmlhelp_basename = 'TZPGcalculatordoc'
+
+
+# -- Options for LaTeX output ------------------------------------------------
+
+latex_elements = {
+ # The paper size ('letterpaper' or 'a4paper').
+ #
+ # 'papersize': 'letterpaper',
+
+ # The font size ('10pt', '11pt' or '12pt').
+ #
+ # 'pointsize': '10pt',
+
+ # Additional stuff for the LaTeX preamble.
+ #
+ # 'preamble': '',
+
+ # Latex figure (float) alignment
+ #
+ # 'figure_align': 'htbp',
+}
+
+# Grouping the document tree into LaTeX files. List of tuples
+# (source start file, target name, title,
+# author, documentclass [howto, manual, or own class]).
+latex_documents = [
+ (master_doc, 'TZPGcalculator.tex', 'TZPG calculator Documentation',
+ 'Loïc Le Guyader', 'manual'),
+]
+
+
+# -- Options for manual page output ------------------------------------------
+
+# One entry per manual page. List of tuples
+# (source start file, name, description, authors, manual section).
+man_pages = [
+ (master_doc, 'tzpgcalculator', 'TZPG calculator Documentation',
+ [author], 1)
+]
+
+
+# -- Options for Texinfo output ----------------------------------------------
+
+# Grouping the document tree into Texinfo files. List of tuples
+# (source start file, target name, title, author,
+# dir menu entry, description, category)
+texinfo_documents = [
+ (master_doc, 'TZPGcalculator', 'TZPG calculator Documentation',
+ author, 'TZPGcalculator', 'One line description of project.',
+ 'Miscellaneous'),
+]
+
+
+# -- Options for Epub output -------------------------------------------------
+
+# Bibliographic Dublin Core info.
+epub_title = project
+
+# The unique identifier of the text. This can be a ISBN number
+# or the project homepage.
+#
+# epub_identifier = ''
+
+# A unique identification for the text.
+#
+# epub_uid = ''
+
+# A list of files that should not be packed into the epub file.
+epub_exclude_files = ['search.html']
+
+
+# -- Extension configuration -------------------------------------------------
diff --git a/doc/source/index.rst b/doc/source/index.rst
new file mode 100644
index 0000000000000000000000000000000000000000..bca9bb9facc2b1360907a6db0cfbcf21e22a8fd3
--- /dev/null
+++ b/doc/source/index.rst
@@ -0,0 +1,44 @@
+.. TZPG calculator documentation master file, created by
+ sphinx-quickstart on Thu Sep 23 13:18:21 2021.
+ You can adapt this file completely to your liking, but it should at least
+ contain the root `toctree` directive.
+
+Welcome to TZPG calculator's documentation!
+===========================================
+
+.. toctree::
+ :maxdepth: 2
+ :caption: Contents:
+
+Installation
+============
+
+The installation steps are
+
+1. Clone the git repository
+
+ .. code:: bash
+
+ git clone https://git.xfel.eu/gitlab/SCS/tzpgcalc.git
+
+
+#. Install the package
+
+ .. code:: bash
+
+ cd tzpgcalc
+ pip3 install -U -e .
+
+Usage
+=====
+
+The following notebook demonstrate how to use the calculator:
+:doc:`TZPG calculator <Interactive TZPG calculator>`
+
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
diff --git a/example/2019-12-11_Interactive_TZPGs_calculator.ipynb b/example/2019-12-11_Interactive_TZPGs_calculator.ipynb
deleted file mode 100644
index b3c6db34ce890870153716ada433f4d2ac89d264..0000000000000000000000000000000000000000
--- a/example/2019-12-11_Interactive_TZPGs_calculator.ipynb
+++ /dev/null
@@ -1,898 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Cloning into 'TZPGcalc'...\n",
- "remote: Enumerating objects: 10, done.\u001b[K\n",
- "remote: Counting objects: 100% (10/10), done.\u001b[K\n",
- "remote: Compressing objects: 100% (8/8), done.\u001b[K\n",
- "remote: Total 10 (delta 2), reused 0 (delta 0)\u001b[K\n",
- "Unpacking objects: 100% (10/10), done.\n"
- ]
- }
- ],
- "source": [
- "!git clone https://in.xfel.eu/gitlab/SCS/TZPGcalc.git/"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "application/javascript": [
- "/* Put everything inside the global mpl namespace */\n",
- "window.mpl = {};\n",
- "\n",
- "\n",
- "mpl.get_websocket_type = function() {\n",
- " if (typeof(WebSocket) !== 'undefined') {\n",
- " return WebSocket;\n",
- " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
- " return MozWebSocket;\n",
- " } else {\n",
- " alert('Your browser does not have WebSocket support. ' +\n",
- " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
- " 'Firefox 4 and 5 are also supported but you ' +\n",
- " 'have to enable WebSockets in about:config.');\n",
- " };\n",
- "}\n",
- "\n",
- "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
- " this.id = figure_id;\n",
- "\n",
- " this.ws = websocket;\n",
- "\n",
- " this.supports_binary = (this.ws.binaryType != undefined);\n",
- "\n",
- " if (!this.supports_binary) {\n",
- " var warnings = document.getElementById(\"mpl-warnings\");\n",
- " if (warnings) {\n",
- " warnings.style.display = 'block';\n",
- " warnings.textContent = (\n",
- " \"This browser does not support binary websocket messages. \" +\n",
- " \"Performance may be slow.\");\n",
- " }\n",
- " }\n",
- "\n",
- " this.imageObj = new Image();\n",
- "\n",
- " this.context = undefined;\n",
- " this.message = undefined;\n",
- " this.canvas = undefined;\n",
- " this.rubberband_canvas = undefined;\n",
- " this.rubberband_context = undefined;\n",
- " this.format_dropdown = undefined;\n",
- "\n",
- " this.image_mode = 'full';\n",
- "\n",
- " this.root = $('<div/>');\n",
- " this._root_extra_style(this.root)\n",
- " this.root.attr('style', 'display: inline-block');\n",
- "\n",
- " $(parent_element).append(this.root);\n",
- "\n",
- " this._init_header(this);\n",
- " this._init_canvas(this);\n",
- " this._init_toolbar(this);\n",
- "\n",
- " var fig = this;\n",
- "\n",
- " this.waiting = false;\n",
- "\n",
- " this.ws.onopen = function () {\n",
- " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
- " fig.send_message(\"send_image_mode\", {});\n",
- " if (mpl.ratio != 1) {\n",
- " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
- " }\n",
- " fig.send_message(\"refresh\", {});\n",
- " }\n",
- "\n",
- " this.imageObj.onload = function() {\n",
- " if (fig.image_mode == 'full') {\n",
- " // Full images could contain transparency (where diff images\n",
- " // almost always do), so we need to clear the canvas so that\n",
- " // there is no ghosting.\n",
- " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
- " }\n",
- " fig.context.drawImage(fig.imageObj, 0, 0);\n",
- " };\n",
- "\n",
- " this.imageObj.onunload = function() {\n",
- " fig.ws.close();\n",
- " }\n",
- "\n",
- " this.ws.onmessage = this._make_on_message_function(this);\n",
- "\n",
- " this.ondownload = ondownload;\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._init_header = function() {\n",
- " var titlebar = $(\n",
- " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
- " 'ui-helper-clearfix\"/>');\n",
- " var titletext = $(\n",
- " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
- " 'text-align: center; padding: 3px;\"/>');\n",
- " titlebar.append(titletext)\n",
- " this.root.append(titlebar);\n",
- " this.header = titletext[0];\n",
- "}\n",
- "\n",
- "\n",
- "\n",
- "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
- "\n",
- "}\n",
- "\n",
- "\n",
- "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
- "\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._init_canvas = function() {\n",
- " var fig = this;\n",
- "\n",
- " var canvas_div = $('<div/>');\n",
- "\n",
- " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
- "\n",
- " function canvas_keyboard_event(event) {\n",
- " return fig.key_event(event, event['data']);\n",
- " }\n",
- "\n",
- " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
- " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
- " this.canvas_div = canvas_div\n",
- " this._canvas_extra_style(canvas_div)\n",
- " this.root.append(canvas_div);\n",
- "\n",
- " var canvas = $('<canvas/>');\n",
- " canvas.addClass('mpl-canvas');\n",
- " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
- "\n",
- " this.canvas = canvas[0];\n",
- " this.context = canvas[0].getContext(\"2d\");\n",
- "\n",
- " var backingStore = this.context.backingStorePixelRatio ||\n",
- "\tthis.context.webkitBackingStorePixelRatio ||\n",
- "\tthis.context.mozBackingStorePixelRatio ||\n",
- "\tthis.context.msBackingStorePixelRatio ||\n",
- "\tthis.context.oBackingStorePixelRatio ||\n",
- "\tthis.context.backingStorePixelRatio || 1;\n",
- "\n",
- " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
- "\n",
- " var rubberband = $('<canvas/>');\n",
- " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
- "\n",
- " var pass_mouse_events = true;\n",
- "\n",
- " canvas_div.resizable({\n",
- " start: function(event, ui) {\n",
- " pass_mouse_events = false;\n",
- " },\n",
- " resize: function(event, ui) {\n",
- " fig.request_resize(ui.size.width, ui.size.height);\n",
- " },\n",
- " stop: function(event, ui) {\n",
- " pass_mouse_events = true;\n",
- " fig.request_resize(ui.size.width, ui.size.height);\n",
- " },\n",
- " });\n",
- "\n",
- " function mouse_event_fn(event) {\n",
- " if (pass_mouse_events)\n",
- " return fig.mouse_event(event, event['data']);\n",
- " }\n",
- "\n",
- " rubberband.mousedown('button_press', mouse_event_fn);\n",
- " rubberband.mouseup('button_release', mouse_event_fn);\n",
- " // Throttle sequential mouse events to 1 every 20ms.\n",
- " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
- "\n",
- " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
- " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
- "\n",
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- " });\n",
- "\n",
- " canvas_div.append(canvas);\n",
- " canvas_div.append(rubberband);\n",
- "\n",
- " this.rubberband = rubberband;\n",
- " this.rubberband_canvas = rubberband[0];\n",
- " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
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- "\n",
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- " // Keep the size of the canvas, canvas container, and rubber band\n",
- " // canvas in synch.\n",
- " canvas_div.css('width', width)\n",
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- "\n",
- " canvas.attr('width', width * mpl.ratio);\n",
- " canvas.attr('height', height * mpl.ratio);\n",
- " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
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- " }\n",
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- " // upon first draw.\n",
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- "\n",
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- "\n",
- " var nav_element = $('<div/>');\n",
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- " 'ui-button-icon-only');\n",
- " button.attr('role', 'button');\n",
- " button.attr('aria-disabled', 'false');\n",
- " button.click(method_name, toolbar_event);\n",
- " button.mouseover(tooltip, toolbar_mouse_event);\n",
- "\n",
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- "\n",
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- " // Add hover states to the ui-buttons\n",
- " $( \".ui-button\" ).hover(\n",
- " function() { $(this).addClass(\"ui-state-hover\");},\n",
- " function() { $(this).removeClass(\"ui-state-hover\");}\n",
- " );\n",
- "\n",
- " var status_bar = $('<span class=\"mpl-message\"/>');\n",
- " nav_element.append(status_bar);\n",
- " this.message = status_bar[0];\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
- " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
- " // which will in turn request a refresh of the image.\n",
- " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.send_message = function(type, properties) {\n",
- " properties['type'] = type;\n",
- " properties['figure_id'] = this.id;\n",
- " this.ws.send(JSON.stringify(properties));\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.send_draw_message = function() {\n",
- " if (!this.waiting) {\n",
- " this.waiting = true;\n",
- " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
- " }\n",
- "}\n",
- "\n",
- "\n",
- "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
- " var format_dropdown = fig.format_dropdown;\n",
- " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
- " fig.ondownload(fig, format);\n",
- "}\n",
- "\n",
- "\n",
- "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
- " var size = msg['size'];\n",
- " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
- " fig._resize_canvas(size[0], size[1]);\n",
- " fig.send_message(\"refresh\", {});\n",
- " };\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
- " var x0 = msg['x0'] / mpl.ratio;\n",
- " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
- " var x1 = msg['x1'] / mpl.ratio;\n",
- " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
- " x0 = Math.floor(x0) + 0.5;\n",
- " y0 = Math.floor(y0) + 0.5;\n",
- " x1 = Math.floor(x1) + 0.5;\n",
- " y1 = Math.floor(y1) + 0.5;\n",
- " var min_x = Math.min(x0, x1);\n",
- " var min_y = Math.min(y0, y1);\n",
- " var width = Math.abs(x1 - x0);\n",
- " var height = Math.abs(y1 - y0);\n",
- "\n",
- " fig.rubberband_context.clearRect(\n",
- " 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
- "\n",
- " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
- " // Updates the figure title.\n",
- " fig.header.textContent = msg['label'];\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
- " var cursor = msg['cursor'];\n",
- " switch(cursor)\n",
- " {\n",
- " case 0:\n",
- " cursor = 'pointer';\n",
- " break;\n",
- " case 1:\n",
- " cursor = 'default';\n",
- " break;\n",
- " case 2:\n",
- " cursor = 'crosshair';\n",
- " break;\n",
- " case 3:\n",
- " cursor = 'move';\n",
- " break;\n",
- " }\n",
- " fig.rubberband_canvas.style.cursor = cursor;\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
- " fig.message.textContent = msg['message'];\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
- " // Request the server to send over a new figure.\n",
- " fig.send_draw_message();\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
- " fig.image_mode = msg['mode'];\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.updated_canvas_event = function() {\n",
- " // Called whenever the canvas gets updated.\n",
- " this.send_message(\"ack\", {});\n",
- "}\n",
- "\n",
- "// A function to construct a web socket function for onmessage handling.\n",
- "// Called in the figure constructor.\n",
- "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
- " return function socket_on_message(evt) {\n",
- " if (evt.data instanceof Blob) {\n",
- " /* FIXME: We get \"Resource interpreted as Image but\n",
- " * transferred with MIME type text/plain:\" errors on\n",
- " * Chrome. But how to set the MIME type? It doesn't seem\n",
- " * to be part of the websocket stream */\n",
- " evt.data.type = \"image/png\";\n",
- "\n",
- " /* Free the memory for the previous frames */\n",
- " if (fig.imageObj.src) {\n",
- " (window.URL || window.webkitURL).revokeObjectURL(\n",
- " fig.imageObj.src);\n",
- " }\n",
- "\n",
- " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
- " evt.data);\n",
- " fig.updated_canvas_event();\n",
- " fig.waiting = false;\n",
- " return;\n",
- " }\n",
- " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
- " fig.imageObj.src = evt.data;\n",
- " fig.updated_canvas_event();\n",
- " fig.waiting = false;\n",
- " return;\n",
- " }\n",
- "\n",
- " var msg = JSON.parse(evt.data);\n",
- " var msg_type = msg['type'];\n",
- "\n",
- " // Call the \"handle_{type}\" callback, which takes\n",
- " // the figure and JSON message as its only arguments.\n",
- " try {\n",
- " var callback = fig[\"handle_\" + msg_type];\n",
- " } catch (e) {\n",
- " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
- " return;\n",
- " }\n",
- "\n",
- " if (callback) {\n",
- " try {\n",
- " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
- " callback(fig, msg);\n",
- " } catch (e) {\n",
- " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
- " }\n",
- " }\n",
- " };\n",
- "}\n",
- "\n",
- "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
- "mpl.findpos = function(e) {\n",
- " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
- " var targ;\n",
- " if (!e)\n",
- " e = window.event;\n",
- " if (e.target)\n",
- " targ = e.target;\n",
- " else if (e.srcElement)\n",
- " targ = e.srcElement;\n",
- " if (targ.nodeType == 3) // defeat Safari bug\n",
- " targ = targ.parentNode;\n",
- "\n",
- " // jQuery normalizes the pageX and pageY\n",
- " // pageX,Y are the mouse positions relative to the document\n",
- " // offset() returns the position of the element relative to the document\n",
- " var x = e.pageX - $(targ).offset().left;\n",
- " var y = e.pageY - $(targ).offset().top;\n",
- "\n",
- " return {\"x\": x, \"y\": y};\n",
- "};\n",
- "\n",
- "/*\n",
- " * return a copy of an object with only non-object keys\n",
- " * we need this to avoid circular references\n",
- " * http://stackoverflow.com/a/24161582/3208463\n",
- " */\n",
- "function simpleKeys (original) {\n",
- " return Object.keys(original).reduce(function (obj, key) {\n",
- " if (typeof original[key] !== 'object')\n",
- " obj[key] = original[key]\n",
- " return obj;\n",
- " }, {});\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.mouse_event = function(event, name) {\n",
- " var canvas_pos = mpl.findpos(event)\n",
- "\n",
- " if (name === 'button_press')\n",
- " {\n",
- " this.canvas.focus();\n",
- " this.canvas_div.focus();\n",
- " }\n",
- "\n",
- " var x = canvas_pos.x * mpl.ratio;\n",
- " var y = canvas_pos.y * mpl.ratio;\n",
- "\n",
- " this.send_message(name, {x: x, y: y, button: event.button,\n",
- " step: event.step,\n",
- " guiEvent: simpleKeys(event)});\n",
- "\n",
- " /* This prevents the web browser from automatically changing to\n",
- " * the text insertion cursor when the button is pressed. We want\n",
- " * to control all of the cursor setting manually through the\n",
- " * 'cursor' event from matplotlib */\n",
- " event.preventDefault();\n",
- " return false;\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
- " // Handle any extra behaviour associated with a key event\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.key_event = function(event, name) {\n",
- "\n",
- " // Prevent repeat events\n",
- " if (name == 'key_press')\n",
- " {\n",
- " if (event.which === this._key)\n",
- " return;\n",
- " else\n",
- " this._key = event.which;\n",
- " }\n",
- " if (name == 'key_release')\n",
- " this._key = null;\n",
- "\n",
- " var value = '';\n",
- " if (event.ctrlKey && event.which != 17)\n",
- " value += \"ctrl+\";\n",
- " if (event.altKey && event.which != 18)\n",
- " value += \"alt+\";\n",
- " if (event.shiftKey && event.which != 16)\n",
- " value += \"shift+\";\n",
- "\n",
- " value += 'k';\n",
- " value += event.which.toString();\n",
- "\n",
- " this._key_event_extra(event, name);\n",
- "\n",
- " this.send_message(name, {key: value,\n",
- " guiEvent: simpleKeys(event)});\n",
- " return false;\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
- " if (name == 'download') {\n",
- " this.handle_save(this, null);\n",
- " } else {\n",
- " this.send_message(\"toolbar_button\", {name: name});\n",
- " }\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
- " this.message.textContent = tooltip;\n",
- "};\n",
- "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
- "\n",
- "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
- "\n",
- "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
- " // Create a \"websocket\"-like object which calls the given IPython comm\n",
- " // object with the appropriate methods. Currently this is a non binary\n",
- " // socket, so there is still some room for performance tuning.\n",
- " var ws = {};\n",
- "\n",
- " ws.close = function() {\n",
- " comm.close()\n",
- " };\n",
- " ws.send = function(m) {\n",
- " //console.log('sending', m);\n",
- " comm.send(m);\n",
- " };\n",
- " // Register the callback with on_msg.\n",
- " comm.on_msg(function(msg) {\n",
- " //console.log('receiving', msg['content']['data'], msg);\n",
- " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
- " ws.onmessage(msg['content']['data'])\n",
- " });\n",
- " return ws;\n",
- "}\n",
- "\n",
- "mpl.mpl_figure_comm = function(comm, msg) {\n",
- " // This is the function which gets called when the mpl process\n",
- " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
- "\n",
- " var id = msg.content.data.id;\n",
- " // Get hold of the div created by the display call when the Comm\n",
- " // socket was opened in Python.\n",
- " var element = $(\"#\" + id);\n",
- " var ws_proxy = comm_websocket_adapter(comm)\n",
- "\n",
- " function ondownload(figure, format) {\n",
- " window.open(figure.imageObj.src);\n",
- " }\n",
- "\n",
- " var fig = new mpl.figure(id, ws_proxy,\n",
- " ondownload,\n",
- " element.get(0));\n",
- "\n",
- " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
- " // web socket which is closed, not our websocket->open comm proxy.\n",
- " ws_proxy.onopen();\n",
- "\n",
- " fig.parent_element = element.get(0);\n",
- " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
- " if (!fig.cell_info) {\n",
- " console.error(\"Failed to find cell for figure\", id, fig);\n",
- " return;\n",
- " }\n",
- "\n",
- " var output_index = fig.cell_info[2]\n",
- " var cell = fig.cell_info[0];\n",
- "\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
- " var width = fig.canvas.width/mpl.ratio\n",
- " fig.root.unbind('remove')\n",
- "\n",
- " // Update the output cell to use the data from the current canvas.\n",
- " fig.push_to_output();\n",
- " var dataURL = fig.canvas.toDataURL();\n",
- " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
- " // the notebook keyboard shortcuts fail.\n",
- " IPython.keyboard_manager.enable()\n",
- " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
- " fig.close_ws(fig, msg);\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.close_ws = function(fig, msg){\n",
- " fig.send_message('closing', msg);\n",
- " // fig.ws.close()\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
- " // Turn the data on the canvas into data in the output cell.\n",
- " var width = this.canvas.width/mpl.ratio\n",
- " var dataURL = this.canvas.toDataURL();\n",
- " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.updated_canvas_event = function() {\n",
- " // Tell IPython that the notebook contents must change.\n",
- " IPython.notebook.set_dirty(true);\n",
- " this.send_message(\"ack\", {});\n",
- " var fig = this;\n",
- " // Wait a second, then push the new image to the DOM so\n",
- " // that it is saved nicely (might be nice to debounce this).\n",
- " setTimeout(function () { fig.push_to_output() }, 1000);\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._init_toolbar = function() {\n",
- " var fig = this;\n",
- "\n",
- " var nav_element = $('<div/>');\n",
- " nav_element.attr('style', 'width: 100%');\n",
- " this.root.append(nav_element);\n",
- "\n",
- " // Define a callback function for later on.\n",
- " function toolbar_event(event) {\n",
- " return fig.toolbar_button_onclick(event['data']);\n",
- " }\n",
- " function toolbar_mouse_event(event) {\n",
- " return fig.toolbar_button_onmouseover(event['data']);\n",
- " }\n",
- "\n",
- " for(var toolbar_ind in mpl.toolbar_items){\n",
- " var name = mpl.toolbar_items[toolbar_ind][0];\n",
- " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
- " var image = mpl.toolbar_items[toolbar_ind][2];\n",
- " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
- "\n",
- " if (!name) { continue; };\n",
- "\n",
- " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
- " button.click(method_name, toolbar_event);\n",
- " button.mouseover(tooltip, toolbar_mouse_event);\n",
- " nav_element.append(button);\n",
- " }\n",
- "\n",
- " // Add the status bar.\n",
- " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
- " nav_element.append(status_bar);\n",
- " this.message = status_bar[0];\n",
- "\n",
- " // Add the close button to the window.\n",
- " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
- " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
- " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
- " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
- " buttongrp.append(button);\n",
- " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
- " titlebar.prepend(buttongrp);\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._root_extra_style = function(el){\n",
- " var fig = this\n",
- " el.on(\"remove\", function(){\n",
- "\tfig.close_ws(fig, {});\n",
- " });\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._canvas_extra_style = function(el){\n",
- " // this is important to make the div 'focusable\n",
- " el.attr('tabindex', 0)\n",
- " // reach out to IPython and tell the keyboard manager to turn it's self\n",
- " // off when our div gets focus\n",
- "\n",
- " // location in version 3\n",
- " if (IPython.notebook.keyboard_manager) {\n",
- " IPython.notebook.keyboard_manager.register_events(el);\n",
- " }\n",
- " else {\n",
- " // location in version 2\n",
- " IPython.keyboard_manager.register_events(el);\n",
- " }\n",
- "\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
- " var manager = IPython.notebook.keyboard_manager;\n",
- " if (!manager)\n",
- " manager = IPython.keyboard_manager;\n",
- "\n",
- " // Check for shift+enter\n",
- " if (event.shiftKey && event.which == 13) {\n",
- " this.canvas_div.blur();\n",
- " event.shiftKey = false;\n",
- " // Send a \"J\" for go to next cell\n",
- " event.which = 74;\n",
- " event.keyCode = 74;\n",
- " manager.command_mode();\n",
- " manager.handle_keydown(event);\n",
- " }\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
- " fig.ondownload(fig, null);\n",
- "}\n",
- "\n",
- "\n",
- "mpl.find_output_cell = function(html_output) {\n",
- " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
- " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
- " // IPython event is triggered only after the cells have been serialised, which for\n",
- " // our purposes (turning an active figure into a static one), is too late.\n",
- " var cells = IPython.notebook.get_cells();\n",
- " var ncells = cells.length;\n",
- " for (var i=0; i<ncells; i++) {\n",
- " var cell = cells[i];\n",
- " if (cell.cell_type === 'code'){\n",
- " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
- " var data = cell.output_area.outputs[j];\n",
- " if (data.data) {\n",
- " // IPython >= 3 moved mimebundle to data attribute of output\n",
- " data = data.data;\n",
- " }\n",
- " if (data['text/html'] == html_output) {\n",
- " return [cell, data, j];\n",
- " }\n",
- " }\n",
- " }\n",
- " }\n",
- "}\n",
- "\n",
- "// Register the function which deals with the matplotlib target/channel.\n",
- "// The kernel may be null if the page has been refreshed.\n",
- "if (IPython.notebook.kernel != null) {\n",
- " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
- "}\n"
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\" width=\"900\">"
- ],
- "text/plain": [
- "<IPython.core.display.HTML object>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "application/vnd.jupyter.widget-view+json": {
- "model_id": "2857a27b5bef44d7b3cee485285b5f57",
- "version_major": 2,
- "version_minor": 0
- },
- "text/plain": [
- "VBox(children=(Accordion(children=(VBox(children=(HBox(children=(Label(value='Energy (eV):'), FloatRangeSlider…"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "text/plain": [
- "<TZPGcalc.TZPGcalc.TZPGcalc at 0x7f66c4509940>"
- ]
- },
- "execution_count": 2,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "import numpy as np\n",
- "%matplotlib notebook\n",
- "import matplotlib.pyplot as plt\n",
- "\n",
- "import matplotlib as mpl\n",
- "mpl.rcParams['savefig.dpi'] = 300\n",
- "mpl.rcParams['figure.dpi'] = 150\n",
- "mpl.rcParams['figure.constrained_layout.use'] = True\n",
- "\n",
- "from TZPGcalc import TZPGcalc\n",
- "\n",
- "TZPGcalc()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.6.9"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/setup.py b/setup.py
new file mode 100644
index 0000000000000000000000000000000000000000..f62f9742bad2919399bd0a590e03310154b8cd5e
--- /dev/null
+++ b/setup.py
@@ -0,0 +1,12 @@
+from setuptools import setup, find_packages
+
+setup(name='TZPGcalc',
+ version=1.0,
+ description='TZPG calculator for SCS',
+ author='Loïc Le Guyader',
+ author_email='loic.le.guyader@xfel.eu',
+ url='https://in.xfel.eu/gitlab/SCS/tzpgcalc',
+ packages=find_packages('src'),
+ package_dir={'': 'src'},
+ python_requires='>=3.8'
+ )
diff --git a/src/TZPGcalc/GeoBeams.py b/src/TZPGcalc/GeoBeams.py
new file mode 100644
index 0000000000000000000000000000000000000000..f0fc76a659bf3eda1a90a651af9dd021a68badd6
--- /dev/null
+++ b/src/TZPGcalc/GeoBeams.py
@@ -0,0 +1,277 @@
+# -*- coding: utf-8 -*-
+""" Geometric beam calculator for SCS.
+
+ Copyright (2021) SCS Team.
+"""
+
+import numpy as np
+import matplotlib.pyplot as plt
+from sympy.physics.optics import GeometricRay, FreeSpace, ThinLens
+from sympy.solvers import solve
+from sympy import symbols, simplify
+from sympy.utilities.lambdify import lambdify
+
+
+class GeoBeams:
+ """The Beams object to compute beam propagation from source point to sample.
+
+ Inputs
+ ------
+ elems : dict
+ dictionnaries of numerical values for the different parameters.
+ """
+ def __init__(self):
+ # all distances in meters
+ self.elems = {
+ 'dIHF': -56, # Intermediate Horizontal Focus position
+ 'dEX': -30, # Exit Slit position
+ 'dHFM': -3.35, # Horizontal Focusing Mirror position
+ 'fHFM': 5.74, # HFM focal length
+ 'dVFM': -2, # Vertical Focusing Mirror position
+ 'fVFM': 5.05, # VFM focal length
+ 'dBOZ': -0.23, # Beam splitting Off axis Zone plate position
+ 'fBOZ': 0.25, # BOZ focal length
+ 'theta_grating': 0, # grating deflection angle in rad
+ 'dSAMZ': 0.0, # Sample position
+ 'WH': 0.8e-3, # BOZ horizontal width
+ 'WV': 0.8e-3, # BOZ vertical width
+ 'offaxis': -0.55e-3, # BOZ center to optical axis
+ 'EXw': 100e-6, # Exit Slit width
+ 'IHFw': 200e-6, # IHF source width
+ 'x1': 0, # horizontal beam height at source
+ 'theta1_x': 0, # horizontal beam angle at source
+ 'x2': 0, # horizontal beam height at BOZ
+ 'y1': 0, # vertical beam height at source
+ 'theta1_y': 0, # vertical beam angle at source
+ 'y2': 0 # vertical beam height at BOZ
+ }
+ self.compute_eqs()
+
+ def compute_eqs(self):
+ """Compute the beam propagation equation between source and zone plate.
+
+ eq_x, eq_y: tuple, the horizontal x and vertical y equations to
+ compute the initial angle from the source to pass by the zone plate
+ position x2, given the source position at x1.
+ """
+ dEX, dIHF, dVFM, dHFM, dBOZ = symbols('dEX, dIHF, dVFM, dHFM, dBOZ')
+ fVFM, fHFM, fBOZ = symbols('fVFM, fHFM, fBOZ')
+ x1, theta1_x, x2 = symbols('x1, theta1_x, x2')
+ y1, theta1_y, y2 = symbols('y1, theta1_y, y2')
+
+ # horizontal and vertical beam propagation from the
+ # source to the zone plate
+ self.HFM = simplify(
+ FreeSpace(-dHFM+dBOZ)*ThinLens(fHFM) *
+ FreeSpace(-dIHF+dHFM)*GeometricRay(x1, theta1_x))
+ self.VFM = simplify(
+ FreeSpace(-dVFM+dBOZ)*ThinLens(fVFM) *
+ FreeSpace(-dEX+dVFM)*GeometricRay(y1, theta1_y))
+ self.HFM_f = lambdify(self.elems.keys(), self.HFM, ['numpy'])
+ self.VFM_f = lambdify(self.elems.keys(), self.VFM, ['numpy'])
+
+ # beams for the zone plate first order (0th order is unfocused)
+ self.HBOZ = simplify(ThinLens(fBOZ)*self.HFM)
+ self.VBOZ = simplify(ThinLens(fBOZ)*self.VFM)
+ self.HBOZ_f = lambdify(self.elems.keys(), self.HBOZ, ['numpy'])
+ self.VBOZ_f = lambdify(self.elems.keys(), self.VBOZ, ['numpy'])
+
+ # solve which beam angle at the source theta1 ends on the
+ # zone plate at x2, given x1
+ self.theta1_x = solve(self.HFM[0] - x2, theta1_x)[0]
+ self.theta1_y = solve(self.VFM[0] - y2, theta1_y)[0]
+ self.theta1_x_f = lambdify(self.elems.keys(), self.theta1_x, ['numpy'])
+ self.theta1_y_f = lambdify(self.elems.keys(), self.theta1_y, ['numpy'])
+
+ def path(self):
+ """Compute the horizontal and vertical beam propagation.
+
+ """
+
+ x = []
+ z_x = []
+
+ # source
+ x1 = self.elems['x1']
+ angle1 = self.elems['theta1_x']
+ x += [x1]
+ z_x += [self.elems['dIHF']]
+ ray = GeometricRay(x1, angle1)
+
+ # KBS
+ ray = (ThinLens(self.elems['fHFM']) *
+ FreeSpace(-self.elems['dIHF'] + self.elems['dHFM'])*ray)
+ z_x += [self.elems['dHFM']]
+ x += [ray[0].evalf()]
+
+ # BOZ
+ ray = (ThinLens(self.elems['fBOZ']) *
+ FreeSpace(-self.elems['dHFM'] + self.elems['dBOZ'])*ray)
+ z_x += [self.elems['dBOZ']]
+ x += [ray[0].evalf()]
+
+ # sample
+ ray = FreeSpace(-self.elems['dBOZ']+self.elems['dSAMZ'])*ray
+ z_x += [self.elems['dSAMZ']]
+ x += [ray[0].evalf()]
+
+ y = []
+ z_y = []
+
+ # source
+ y1 = self.elems['y1']
+ angle1 = self.elems['theta1_y']
+ y += [y1]
+ z_y += [self.elems['dEX']]
+ ray = GeometricRay(y1, angle1)
+
+ # KBS
+ ray = (ThinLens(self.elems['fVFM']) *
+ FreeSpace(-self.elems['dEX']+self.elems['dVFM'])*ray)
+ z_y += [self.elems['dVFM']]
+ y += [ray[0].evalf()]
+
+ # BOZ
+ ray = (ThinLens(self.elems['fBOZ']) *
+ FreeSpace(-self.elems['dVFM']+self.elems['dBOZ'])*ray)
+ z_y += [self.elems['dBOZ']]
+ y += [ray[0].evalf()]
+
+ # sample
+ ray = FreeSpace(-self.elems['dBOZ']+self.elems['dSAMZ'])*ray
+ z_y += [self.elems['dSAMZ']]
+ y += [ray[0].evalf()]
+
+ return z_x, x, z_y, y
+
+ def plot(self):
+ fig, ax = plt.subplots(2, 1, figsize=(6, 4), sharex=True, sharey=True)
+
+ xmin, xmax = [np.Inf, -np.Inf]
+ ymin, ymax = [np.Inf, -np.Inf]
+ for k, (x2, y2) in enumerate(zip(
+ [self.elems['WH']/2, -self.elems['WH']/2],
+ np.array([self.elems['WV']/2, -self.elems['WV']/2])
+ + self.elems['offaxis'])):
+ for kk, (x1, y1) in enumerate(zip(
+ [self.elems['IHFw']/2, -self.elems['IHFw']/2],
+ [self.elems['EXw']/2, -self.elems['EXw']/2])):
+ c = f'C{3*k+kk}'
+
+ self.elems['x1'] = x1
+ self.elems['x2'] = x2
+ self.elems['y1'] = y1
+ self.elems['y2'] = y2
+
+ self.elems['theta1_x'] = self.theta1_x_f(
+ *list(self.elems.values()))
+ self.elems['theta1_y'] = self.theta1_y_f(
+ *list(self.elems.values()))
+
+ z_x, x, z_y, y = self.path()
+ ax[0].plot(z_x, 1e3*np.array(x), c=c)
+ ax[1].plot(z_y, 1e3*np.array(y), c=c)
+
+ if xmin > x[-1]:
+ xmin = x[-1]
+ if xmax < x[-1]:
+ xmax = x[-1]
+
+ if ymin > y[-1]:
+ ymin = y[-1]
+ if ymax < y[-1]:
+ ymax = y[-1]
+
+ ax[0].set_ylabel('x (mm)')
+ ax[1].set_ylabel('y (mm)')
+ ax[1].set_xlabel('z (m)')
+
+ return fig
+
+ def plane_image(self, p0, n, ZPorder, Gorder=0):
+ """Compute the BOZ image on a plane.
+
+ Inputs
+ ------
+ p0: [x, y, z] point on the imaging plane
+ n: [X, Y, Z] plane normal vector
+ ZPorder: int, order of the zone plate, i.e. 0 or 1
+ Gorder: int, grating order, in [-1, 0, 1]
+ Returns
+ -------
+ list of 4 corners [x,y]
+ """
+ xmin, xmax = [np.Inf, -np.Inf]
+ ymin, ymax = [np.Inf, -np.Inf]
+ for k, (x2, y2) in enumerate(zip(
+ [self.elems['WH']/2, -self.elems['WH']/2],
+ np.array([self.elems['WV']/2, -self.elems['WV']/2])
+ + self.elems['offaxis'])):
+ for kk, (x1, y1) in enumerate(zip(
+ [self.elems['IHFw']/2, -self.elems['IHFw']/2],
+ [self.elems['EXw']/2, -self.elems['EXw']/2])):
+
+ self.elems['x1'] = x1
+ self.elems['y1'] = y1
+ self.elems['x2'] = x2
+ self.elems['y2'] = y2
+
+ self.elems['theta1_x'] = self.theta1_x_f(
+ *list(self.elems.values()))
+ self.elems['theta1_y'] = self.theta1_y_f(
+ *list(self.elems.values()))
+
+ # evaluate HFM/VFM or HBOZ/VBOZ
+ if ZPorder == 1:
+ bx = self.HBOZ_f(*list(self.elems.values()))
+ by = self.VBOZ_f(*list(self.elems.values()))
+ elif ZPorder == 0:
+ bx = self.HFM_f(*list(self.elems.values()))
+ by = self.VFM_f(*list(self.elems.values()))
+ else:
+ raise ValueError(
+ 'ZPorder other than 0 or 1 not implemented')
+
+ # intersection beam with plane
+ l1 = np.array([x2, y2, self.elems['dBOZ']])
+ l12 = np.array([bx[1][0] + Gorder*self.elems['theta_grating'],
+ by[1][0], 1])
+
+ p = self.LinePlaneIntersection(p0, n, l1, l12=l12)
+
+ if xmin > p[0]:
+ xmin = p[0]
+ if xmax < p[0]:
+ xmax = p[0]
+
+ if ymin > p[1]:
+ ymin = p[1]
+ if ymax < p[1]:
+ ymax = p[1]
+
+ return np.array([[xmax, ymax], [xmax, ymin],
+ [xmin, ymin], [xmin, ymax]])
+
+ def LinePlaneIntersection(self, p0, n, l1, *, l2=None, l12=None):
+ """ Calculate the intersection point in space between a line (beam)
+ passing through 2 points l1 and l2 and a (sample) plane passing by
+ p0 with normal n
+
+ l1: [x,y,z] point on line
+ l2: [x,y,z] point on line
+ p0: [x,y,z] point on plane
+ n: plane normal vector
+ """
+ assert not((l2 is None) and (l12 is None)), (
+ "Either l2 or l12 must be defined")
+
+ # plane parametrized as (p - p0).n = 0
+ # line parametrized as p = l1 + l12*d with d Real
+ if l12 is None:
+ l12 = l2 - l1
+
+ if np.dot(l12, n) == 0:
+ return [0, 0, 0] # line is either in the plane or outside of it
+ else:
+ d = np.dot((p0 - l1), n)/np.dot(l12, n)
+ return l1 + l12*d
diff --git a/src/TZPGcalc/TZPGcalc.py b/src/TZPGcalc/TZPGcalc.py
new file mode 100644
index 0000000000000000000000000000000000000000..ff0fb2c6885fef26a8fb39c7216428825a2e368c
--- /dev/null
+++ b/src/TZPGcalc/TZPGcalc.py
@@ -0,0 +1,771 @@
+# -*- coding: utf-8 -*-
+""" TZPG simple calculator for SCS.
+
+ Interactive widget to calculate beam sizes and position at the sample and
+ detector planes for the SCS instrument.
+
+ Copyright (2019-2021) SCS Team.
+"""
+
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+from matplotlib.patches import Rectangle, Polygon
+from matplotlib.colors import hsv_to_rgb
+
+import ipywidgets as widgets
+from ipywidgets import HBox, VBox
+from IPython.display import display
+
+from TZPGcalc.GeoBeams import GeoBeams
+
+
+# number of membrane to show
+SampleN = 7
+
+# Database of existing zone plates parameters
+TZPG_db = {
+ 'Custom': {
+ 'design_nrj': 860,
+ 'TZPGwH': 1,
+ 'TZPGwV': 1,
+ 'TZPGoffaxis': 0.75,
+ 'grating': 3.8,
+ 'F': 0.25
+ },
+ 'O': {
+ 'design_nrj': 530,
+ 'TZPGwH': 0.8,
+ 'TZPGwV': 0.8,
+ 'TZPGoffaxis': 0.55,
+ 'grating': 3.1,
+ 'F': 0.25
+ },
+ 'Fe': {
+ 'design_nrj': 715,
+ 'TZPGwH': 0.8,
+ 'TZPGwV': 0.8,
+ 'TZPGoffaxis': 0.55,
+ 'grating': 3.1,
+ 'F': 0.25
+ },
+ 'Co': {
+ 'design_nrj': 785,
+ 'TZPGwH': 0.8,
+ 'TZPGwV': 0.8,
+ 'TZPGoffaxis': 0.55,
+ 'grating': 3.1,
+ 'F': 0.25
+ },
+ 'Ni': {
+ 'design_nrj': 860,
+ 'TZPGwH': 0.8,
+ 'TZPGwV': 0.8,
+ 'TZPGoffaxis': 0.55,
+ 'grating': 3.1,
+ 'F': 0.25
+ },
+ 'Cu': {
+ 'design_nrj': 927,
+ 'TZPGwH': 0.8,
+ 'TZPGwV': 0.8,
+ 'TZPGoffaxis': 0.55,
+ 'grating': 3.1,
+ 'F': 0.25
+ },
+ 'Gd': {
+ 'design_nrj': 1210,
+ 'TZPGwH': 0.8,
+ 'TZPGwV': 0.8,
+ 'TZPGoffaxis': 0.55,
+ 'grating': 3.1,
+ 'F': 0.25
+ }
+}
+
+
+class TZPGcalc():
+ def __init__(self):
+ self.geo_beams = GeoBeams()
+ self.initFig()
+ self.initWidgets()
+ for v in ['fVFM', 'fHFM', 'EXw', 'IHFw']:
+ if v in ['fVFM', 'fHFM']:
+ scale = 1.0
+ else:
+ scale = 1e6
+ self.widgets[v].value = scale*self.geo_beams.elems[v]
+
+ # spot sizes of all beams
+ self.SpotSizes = {}
+ for d in ['det', 'sam']:
+ self.SpotSizes[d] = {}
+ for k in ['L', 'H']:
+ self.SpotSizes[d][k] = np.zeros((6, 2))
+
+ self.UpdateFig()
+ display(self.control)
+
+ def initFig(self):
+ "Creates a figure for the sample plane and detector plane images."
+
+ plt.close('TZPGcalc')
+ fig, (self.ax_sam, self.ax_det) = plt.subplots(
+ 1, 2, num='TZPGcalc', figsize=(6, 3))
+
+ # display scale
+ self.scale = 1e3 # displayed distances in [mm]
+
+ self.ax_sam.set_title('Sample plane')
+ self.ax_det.set_title('Detector plane')
+
+ self.ax_sam.set_aspect('equal')
+ self.ax_det.set_aspect('equal')
+ self.ax_sam.set_xlim([-2, 2])
+ self.ax_sam.set_ylim([-2, 2])
+ self.ax_det.set_xlim([-35, 35])
+ self.ax_det.set_ylim([-20, 50])
+
+ # red and blue shifted color of the beams
+ c_rr = hsv_to_rgb([0/360, 50/100, 100/100])
+ c_rb = hsv_to_rgb([40/360, 50/100, 100/100])
+ c_gr = hsv_to_rgb([95/360, 60/100, 100/100])
+ c_gb = hsv_to_rgb([145/360, 60/100, 100/100])
+
+ self.samBeamsL = {
+ 'F0G0': self.ax_sam.add_patch(
+ Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
+ 'F0G1': self.ax_sam.add_patch(
+ Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
+ 'F0G-1': self.ax_sam.add_patch(
+ Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
+ 'F1G0': self.ax_sam.add_patch(
+ Polygon([(0, 0)], facecolor=c_rr, alpha=0.7, lw=None)),
+ 'F1G1': self.ax_sam.add_patch(
+ Polygon([(0, 0)], facecolor=c_gr, alpha=0.7, lw=None)),
+ 'F1G-1': self.ax_sam.add_patch(
+ Polygon([(0, 0)], facecolor=c_gr, alpha=0.7, lw=None))
+ }
+
+ self.detBeamsL = {
+ 'F0G0': self.ax_det.add_patch(
+ Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
+ 'F0G1': self.ax_det.add_patch(
+ Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
+ 'F0G-1': self.ax_det.add_patch(
+ Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
+ 'F1G0': self.ax_det.add_patch(
+ Polygon([(0, 0)], facecolor=c_rr, alpha=0.7, lw=None)),
+ 'F1G1': self.ax_det.add_patch(
+ Polygon([(0, 0)], facecolor=c_gr, alpha=0.7, lw=None)),
+ 'F1G-1': self.ax_det.add_patch(
+ Polygon([(0, 0)], facecolor=c_gr, alpha=0.7, lw=None))
+ }
+
+ self.samBeamsH = {
+ 'F0G0': self.ax_sam.add_patch(
+ Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
+ 'F0G1': self.ax_sam.add_patch(
+ Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
+ 'F0G-1': self.ax_sam.add_patch(
+ Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
+ 'F1G0': self.ax_sam.add_patch(
+ Polygon([(0, 0)], facecolor=c_rb, alpha=0.7, lw=None)),
+ 'F1G1': self.ax_sam.add_patch(
+ Polygon([(0, 0)], facecolor=c_gb, alpha=0.7, lw=None)),
+ 'F1G-1': self.ax_sam.add_patch(
+ Polygon([(0, 0)], facecolor=c_gb, alpha=0.7, lw=None))
+ }
+
+ self.detBeamsH = {
+ 'F0G0': self.ax_det.add_patch(
+ Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
+ 'F0G1': self.ax_det.add_patch(
+ Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
+ 'F0G-1': self.ax_det.add_patch(
+ Polygon([(0, 0)], facecolor="black", alpha=0.4, lw=None)),
+ 'F1G0': self.ax_det.add_patch(
+ Polygon([(0, 0)], facecolor=c_rb, alpha=0.7, lw=None)),
+ 'F1G1': self.ax_det.add_patch(
+ Polygon([(0, 0)], facecolor=c_gb, alpha=0.7, lw=None)),
+ 'F1G-1': self.ax_det.add_patch(
+ Polygon([(0, 0)], facecolor=c_gb, alpha=0.7, lw=None))
+ }
+
+ self.detLines = {
+ 'module': self.ax_det.add_patch(
+ Rectangle((0, 0), 1, 1, fill=False, facecolor='k')),
+ 'Vfilter': self.ax_det.add_patch(
+ Rectangle((0, 0), 1, 1, facecolor="blue", alpha=0.4)),
+ 'Hfilter': self.ax_det.add_patch(
+ Rectangle((0, 0), 1, 1, facecolor="blue", alpha=0.4)),
+ 'diamond': self.ax_det.add_patch(
+ Rectangle((-8, -8), 16, 16, facecolor="blue", alpha=0.4,
+ angle=45))
+ }
+
+ # 5x5 membranes
+ self.sampleLines = {}
+ self.etchLines = {}
+ for k in range(SampleN*SampleN):
+ self.sampleLines[k] = self.ax_sam.add_patch(
+ Rectangle((0, 0), 1, 1, fill=False, facecolor='k'))
+ self.etchLines[k] = self.ax_sam.add_patch(
+ Rectangle((0, 0), 1, 1, fill=False, facecolor='k',
+ alpha=0.4, ls='--'))
+
+ def RectUpdate(self, rect, xLeft, yBottom, xRight, yTop):
+ """Updates the position and size of the given Rectangle.
+
+ Inputs
+ ------
+ rect: Rectangle to update
+ xLeft: x position of the left corner
+ yBottom: y position of the bottom corner
+ xRight: x position of the right corner
+ yTop: y position of the top corner
+ """
+
+ xw = np.abs(xLeft - xRight)
+ yw = np.abs(yTop - yBottom)
+
+ rect.set_xy((self.scale*xLeft, self.scale*yBottom))
+ rect.set_height(self.scale*yw)
+ rect.set_width(self.scale*xw)
+
+ def PolyUpdate(self, poly, xLeft, yBottom, xRight, yTop):
+ """Updates the corner position of a Polygon.
+
+ Inputs
+ ------
+ poly: regular Polygon to update
+ xLeft: x position of the left corner
+ yBottom: y position of the bottom corner
+ xRight: x position of the right corner
+ yTop: y position of the top corner
+ """
+
+ xy = self.scale*np.array([
+ [xLeft, yBottom],
+ [xLeft, yTop],
+ [xRight, yTop],
+ [xRight, yBottom]])
+
+ poly.set_xy(xy)
+
+ def UpdateBeams(self, Beams, img, conf):
+ """Updates the position and size of the beams.
+
+ Inputs
+ ------
+ Beams: dictionary of f'F{f}G{g}' Polygon for f = 0 and 1 zone
+ plate order and g = +1, 0 and -1 grating order
+ img: dictionary of parameters for the imaging plane
+ conf: dictionary of parameters for optics
+ """
+ # shortcut
+ sge = self.geo_beams.elems
+
+ sge['fBOZ'] = conf['F']
+ sge['theta_grating'] = conf['theta_grating']
+
+ # imaging plane
+ n = np.array([np.sin(img['incidence']),
+ 0,
+ np.cos(img['incidence'])])
+ p0 = np.array([0, 0, img['z']])
+
+ res = {}
+ for z, (f, g) in enumerate([(0, -1), (0, 0), (0, 1),
+ (1, -1), (1, 0), (1, 1)]):
+ beam = f'F{f}G{g}'
+ res[beam] = (self.geo_beams.plane_image(p0, n, f, g)
+ - np.array([0, sge['offaxis']])) # 0th order offset
+
+ corners = self.scale*res[beam]
+
+ Beams[beam].set_xy(corners)
+ for k in [0, 1]:
+ vs = corners[:, k]
+ self.SpotSizes[img['type']][conf['Energy']][z, k] = (
+ 1e3*(np.max(vs) - np.min(vs)))
+
+ def DetectorUpdate(self, Xoff, Yoff):
+ """Draws DSSC detector module with filter mask.
+
+ Inputs
+ ------
+ Xoff: x offset
+ Yoff: y offset
+ """
+ # x module axis is vertical, y module axis is horizontal
+ # the module 15 is +0.91 mm vertical from the beam and
+ # 4.233 mm horizontal from the beam
+ offset_h = 4.233e-3 # [m]
+ offset_v = 0.91e-3 # [m]
+
+ moduleHw = 256*0.236e-3 # [m]
+ moduleVw = 128*0.204e-3 # [m]
+
+ filterW = 7e-3 # [m]
+ filterL = 160e-3 # [m]
+ diamondW = 16e-3 # [m]
+
+ self.RectUpdate(self.detLines['module'],
+ -moduleHw - offset_h + Xoff, offset_v + Yoff,
+ -offset_h + Xoff, moduleVw + offset_v + Yoff)
+ self.RectUpdate(self.detLines['Vfilter'],
+ -filterW/2 + Xoff, -filterL/2 + Yoff,
+ filterW/2 + Xoff, filterL/2 + Yoff)
+ self.RectUpdate(self.detLines['Hfilter'],
+ -filterL/2 + Xoff, -filterW/2 + Yoff,
+ filterL/2 + Xoff, filterW/2 + Yoff)
+
+ # moving rotated rectangles is a pain in matplotlib
+ self.detLines['diamond'].set_xy((
+ self.scale*Xoff, self.scale*(Yoff - diamondW/2*np.sqrt(2))))
+
+ def SampleUpdate(self, w, p, Xoff, Yoff, thickness=0.525,
+ incidence=0, etch_angle=54.74):
+ """Draws the sample.
+
+ Inputs
+ ------
+ w: membrane width
+ p: membrane pitch
+ Xoff: sample x offset
+ Yoff: sample y offset
+ thickness: sample thickness used to calculate the etched facets
+ incidence: incidence angle in rad
+ etch_angle: etching angle from surface in rad
+ """
+ # Si etching angle
+ wp = w + 2*thickness/np.tan(etch_angle)
+
+ # incidence angle squeezes sample and etch lines
+ # and induces an apparent shift off the etch lines
+ ci = np.cos(incidence)
+ thsi = thickness*np.sin(incidence)
+
+ j = 0
+ for r in range(-(SampleN-1)//2, (SampleN-1)//2+1):
+ for c in range(-(SampleN-1)//2, (SampleN-1)//2+1):
+ self.RectUpdate(
+ self.sampleLines[j],
+ ci*(r*p - w/2 + Xoff), c*p - w/2 - Yoff,
+ ci*(r*p + w/2 + Xoff), c*p + w/2 - Yoff)
+ self.RectUpdate(
+ self.etchLines[j],
+ ci*(r*p - wp/2 + Xoff)+thsi, c*p - wp/2 - Yoff,
+ ci*(r*p + wp/2 + Xoff)+thsi, c*p + wp/2 - Yoff)
+ j += 1
+
+ def UpdateFig(self):
+ """Updates the figure with the current slider values.
+
+ """
+ # shortcuts
+ sw = self.widgets
+ sge = self.geo_beams.elems
+
+ # we calculate the optics for the central wavelength
+ nrjL = sw['nrjL'].value # [eV]
+ nrjH = sw['nrjH'].value # [eV]
+ wlL = 1240/nrjL*1e-9
+ wlH = 1240/nrjH*1e-9
+ nrjD = sw['nrjD'].value # [eV]
+ wlD = 1240/nrjD*1e-9
+
+ F = sw['F'].value # [m] hidden nominal focal length
+ theta_grating = sw['grating'].value*1e-3 # [rad]
+ sampleZ = sw['SAMZ'].value*1e-3 # [m]
+ samIncidence = np.deg2rad(sw['samIncidence'].value) # [rad]
+ detectorZ = sw['detZ'].value*1e-3 # [m]
+
+ sge['WH'] = sw['TZPGwH'].value*1e-3 # [m]
+ sge['WV'] = sw['TZPGwV'].value*1e-3 # [m]
+ sge['offaxis'] = -sw['TZPGoffaxis'].value*1e-3 # [m]
+ sge['EXw'] = sw['EXw'].value*1e-6 # [m]
+ sge['IHFw'] = sw['IHFw'].value*1e-6 # [m]
+ sge['fVFM'] = sw['fVFM'].value # [m]
+ sge['fHFM'] = sw['fHFM'].value # [m]
+
+ d_nominal = wlD/np.sin(theta_grating)
+ sw['d_label'].value = (
+ f'Grating Pitch:{int(np.round(d_nominal*1e9))} nm')
+
+ # zone plate radius at the point further away from the optical axis
+ rn = np.sqrt((sge['WH']/2.0)**2 +
+ (sge['WV']/2.0 + np.abs(sge['offaxis']))**2)
+ dr_nominal = wlD * F / (2*rn)
+ sw['dr_label'].value = (
+ f'Outer Zone Plate width dr:{int(np.round(dr_nominal*1e9))} nm')
+
+ # Optics properties (focal length and grating angle) for the
+ # low energy and high energy photon
+ F_L = 2*rn*dr_nominal/wlL
+ G_L = np.arcsin(wlL/d_nominal)
+ confL = {'Energy': 'L',
+ 'F': F_L,
+ 'theta_grating': G_L}
+ F_H = 2*rn*dr_nominal/wlH
+ G_H = np.arcsin(wlH/d_nominal)
+ confH = {'Energy': 'H',
+ 'F': F_H,
+ 'theta_grating': G_H}
+
+ # Configuration for imaging plane
+ sam = {'type': 'sam', 'z': sampleZ, 'incidence': samIncidence}
+ det = {'type': 'det', 'z': detectorZ, 'incidence': 0}
+
+ # update the beams
+ self.UpdateBeams(self.samBeamsL, sam, confL)
+ self.UpdateBeams(self.detBeamsL, det, confL)
+ self.UpdateBeams(self.samBeamsH, sam, confH)
+ self.UpdateBeams(self.detBeamsH, det, confH)
+
+ # update Spot Size Tables
+ for v in ['L', 'H']:
+ df = pd.DataFrame(self.SpotSizes['sam'][v],
+ index=['F0G-1', 'F0G0', 'F0G1',
+ 'F1G-1', 'F1G0', 'F1G1'],
+ columns=['H (um)', 'V (um)'])
+ self.widgets[f'SpotSize{v}'].value = df.to_html(
+ float_format='{:.2f}'.format)
+
+ # update the detector
+ detXoff = self.widgets['detX'].value*1e-3 # [m]
+ detYoff = self.widgets['detY'].value*1e-3 # [m]
+ self.DetectorUpdate(detXoff, detYoff)
+
+ # update the sample
+ samw = self.widgets['samw'].value*1e-3 # [m]
+ samp = self.widgets['samp'].value*1e-3 # [m]
+ samXoff = self.widgets['samX'].value*1e-3 # [m]
+ samYoff = self.widgets['samY'].value*1e-3 # [m]
+ samthickness = self.widgets['samthickness'].value*1e-6 # [m]
+ samEtchAngle = np.deg2rad(self.widgets['samEtchAngle'].value) # [rad]
+ self.SampleUpdate(samw, samp, samXoff, samYoff, samthickness,
+ samIncidence, samEtchAngle)
+
+ def initWidgets(self):
+ """ Creates the necessary interactive widget controls.
+ """
+
+ style = {'description_width': 'initial'}
+ layout = {} # max_width': '300px'}
+
+ self.Update = widgets.Button(
+ description='Update',
+ )
+
+ @self.Update.on_click
+ def plot_on_click(b):
+ self.UpdateFig()
+
+ self.widgets = {}
+
+ # Spot sizes
+ self.widgets['SpotSizeL'] = widgets.HTML()
+ self.widgets['SpotSizeH'] = widgets.HTML()
+ SpotSize = HBox([VBox([widgets.Label(value='Low energy'),
+ self.widgets['SpotSizeL']]),
+ VBox([
+ widgets.Label(value='High energy'),
+ self.widgets['SpotSizeH']])
+ ])
+
+ # Source
+ self.widgets['EXw'] = widgets.BoundedIntText(
+ value=100,
+ min=0,
+ max=2000,
+ step=1,
+ description='Exit Slit (um):',
+ style=style,
+ layout=layout
+ )
+ self.widgets['IHFw'] = widgets.BoundedIntText(
+ value=200,
+ min=0,
+ max=2000,
+ step=1,
+ description='IHF width (um):',
+ style=style,
+ layout=layout
+ )
+ self.widgets['fVFM'] = widgets.BoundedFloatText(
+ value=0,
+ min=0,
+ max=10,
+ step=0.01,
+ description='VFM focal length (m):',
+ style=style,
+ layout=layout
+ )
+ self.widgets['fHFM'] = widgets.BoundedFloatText(
+ value=0,
+ min=0,
+ max=10,
+ step=0.01,
+ description='HFM focal length (m):',
+ style=style,
+ layout=layout
+ )
+ SourceTab = VBox([
+ self.widgets['EXw'],
+ self.widgets['IHFw'],
+ self.widgets['fVFM'],
+ self.widgets['fHFM']])
+
+ # TZPG part
+ self.widgets['Type'] = widgets.Dropdown(
+ options=list(TZPG_db),
+ value='Custom',
+ description='Type:',
+ style=style,
+ disabled=False
+ )
+
+ def TZPGtype(change):
+ v = TZPG_db[change.new]
+ self.widgets['nrjD'].value = v['design_nrj']
+ self.widgets['TZPGwH'].value = v['TZPGwH']
+ self.widgets['TZPGwV'].value = v['TZPGwV']
+ self.widgets['TZPGoffaxis'].value = v['TZPGoffaxis']
+ self.widgets['grating'].value = v['grating']
+ self.widgets['F'].value = v['F']
+ # necessary to recompute grating pitch and outer zone plate width
+ self.UpdateFig()
+
+ self.widgets['Type'].observe(TZPGtype, names='value')
+
+ # hidden nominal zone plate focus
+ self.widgets['F'] = widgets.BoundedFloatText(
+ value=0.25,
+ min=0,
+ max=1
+ )
+
+ self.widgets['nrjL'] = widgets.BoundedIntText(
+ value=840,
+ min=450,
+ max=3200,
+ step=1,
+ description='Low:',
+ style=style,
+ layout=layout
+ )
+ self.widgets['nrjH'] = widgets.BoundedIntText(
+ value=880,
+ min=450,
+ max=3200,
+ step=1,
+ description='High:',
+ style=style,
+ layout=layout
+ )
+ self.widgets['nrjD'] = widgets.BoundedIntText(
+ value=860,
+ min=450,
+ max=3200,
+ step=1,
+ width=4,
+ description='Design:',
+ style=style,
+ layout=layout
+ )
+ self.widgets['TZPGwH'] = widgets.BoundedFloatText(
+ value=1.0,
+ min=.1,
+ max=3.0,
+ step=0.05,
+ description='Height:',
+ style=style,
+ layout=layout
+ )
+ self.widgets['TZPGwV'] = widgets.BoundedFloatText(
+ value=1.0,
+ min=.1,
+ max=3.0,
+ step=0.05,
+ description='Width:',
+ style=style,
+ layout=layout
+ )
+ self.widgets['TZPGoffaxis'] = widgets.BoundedFloatText(
+ value=0.75,
+ min=.0,
+ max=2.0,
+ step=0.05,
+ description='Off axis (mm):',
+ style=style,
+ layout=layout
+ )
+ self.widgets['grating'] = widgets.BoundedFloatText(
+ value=3.8,
+ min=1.,
+ max=10.0,
+ step=0.05,
+ description='Grating angle (mrad):',
+ style=style,
+ layout=layout
+ )
+ self.widgets['dr_label'] = widgets.Label(value='dr')
+ self.widgets['d_label'] = widgets.Label(value='dr')
+ TZPGTab = VBox([
+ self.widgets['Type'],
+ HBox([self.widgets['nrjD'],
+ self.widgets['grating'],
+ self.widgets['TZPGoffaxis']]),
+ HBox([self.widgets['d_label'],
+ self.widgets['dr_label']]),
+ HBox([widgets.Label(value='Energy range (eV):'),
+ self.widgets['nrjL'], self.widgets['nrjH']]),
+ HBox([widgets.Label(value='TZPG (mm):'),
+ self.widgets['TZPGwH'],
+ self.widgets['TZPGwV']])
+ ])
+
+ # sample part
+ self.widgets['SAMZ'] = widgets.BoundedFloatText(
+ value=30.,
+ min=-10.,
+ max=180.0,
+ step=.1,
+ description='Sample Z (mm):',
+ style=style,
+ layout=layout
+ )
+ self.widgets['samw'] = widgets.BoundedFloatText(
+ value=.5,
+ min=0.01,
+ max=2.0,
+ step=.01,
+ description='width:',
+ style=style,
+ layout=layout
+ )
+ self.widgets['samp'] = widgets.BoundedFloatText(
+ value=1.0,
+ min=0.01,
+ max=2.0,
+ step=.01,
+ description='pitch:',
+ style=style,
+ layout=layout
+ )
+ self.widgets['samX'] = widgets.BoundedFloatText(
+ value=0.,
+ min=-10,
+ max=10,
+ step=0.01,
+ description='X:',
+ style=style,
+ layout=layout
+ )
+ self.widgets['samY'] = widgets.BoundedFloatText(
+ value=0.,
+ min=-10,
+ max=10,
+ step=0.01,
+ description='Y:',
+ style=style,
+ layout=layout
+ )
+ self.widgets['samthickness'] = widgets.BoundedFloatText(
+ value=381,
+ min=1,
+ max=1000,
+ step=1,
+ description='Substrate thickness (um):',
+ style=style,
+ layout=layout
+ )
+ self.widgets['samIncidence'] = widgets.BoundedFloatText(
+ value=0,
+ min=0,
+ max=90,
+ step=1,
+ description='Sample normal (deg):',
+ style=style,
+ layout=layout
+ )
+ self.widgets['samEtchAngle'] = widgets.BoundedFloatText(
+ value=54.74,
+ min=0,
+ max=90,
+ step=0.01,
+ description='Etch angle from surface (deg):',
+ style=style,
+ layout=layout
+ )
+ samTab = VBox([
+ self.widgets['SAMZ'],
+ HBox([widgets.Label(value='Membrane (mm), '),
+ self.widgets['samw'],
+ self.widgets['samp']]),
+ HBox([widgets.Label(value='Sample Offset (mm), '),
+ self.widgets['samX'],
+ self.widgets['samY']]),
+ self.widgets['samthickness'],
+ HBox([self.widgets['samIncidence'],
+ self.widgets['samEtchAngle']])
+ ])
+
+ # Detector tab
+ self.widgets['detZ'] = widgets.BoundedFloatText(
+ value=2000.,
+ min=1000,
+ max=5800,
+ step=1,
+ description='Z:',
+ style=style,
+ layout=layout
+ )
+ self.widgets['detX'] = widgets.BoundedFloatText(
+ value=20.,
+ min=-50,
+ max=50,
+ step=0.5,
+ description='X:',
+ style=style,
+ layout=layout
+ )
+ self.widgets['detY'] = widgets.BoundedFloatText(
+ value=0.,
+ min=-50,
+ max=50,
+ step=0.5,
+ description='Y:',
+ style=style,
+ layout=layout
+ )
+ detTab = VBox([HBox([widgets.Label(value='Detector (m), '),
+ self.widgets['detZ'],
+ self.widgets['detX'],
+ self.widgets['detY']
+ ])])
+
+ # combined tabs
+ tab0 = widgets.Accordion([SourceTab])
+ tab0.set_title(0, 'Source and KBS')
+ tab0.selected_index = 0
+
+ tab1 = widgets.Accordion([TZPGTab])
+ tab1.set_title(0, 'Beam splitting Off axis Zone plate')
+ tab1.selected_index = 0
+
+ tab2 = widgets.Accordion([samTab])
+ tab2.set_title(0, 'Sample')
+ tab2.selected_index = 0
+
+ tab3 = widgets.Accordion([detTab])
+ tab3.set_title(0, 'Detector')
+ tab3.selected_index = 0
+
+ tab4 = widgets.Accordion([SpotSize])
+ tab4.set_title(0, 'Spot sizes')
+ tab4.selected_index = 0
+
+ self.control = VBox([self.Update, tab0, tab1, tab2, tab3, tab4])
diff --git a/example/.gitkeep b/src/TZPGcalc/__init__.py
similarity index 100%
rename from example/.gitkeep
rename to src/TZPGcalc/__init__.py